Transparent reporting of multivariable prediction models developed or validated using clustered data: TRIPOD-Cluster checklist Article Swipe
Thomas P. A. Debray
,
Gary S. Collins
,
Richard D Riley
,
Kym I E Snell
,
Ben Van Calster
,
Johannes B. Reitsma
,
Karel G. M. Moons
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1136/bmj-2022-071018
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1136/bmj-2022-071018
The increasing availability of large combined datasets (or big data), such as those from electronic health records and from individual participant data meta-analyses, provides new opportunities and challenges for researchers developing and validating (including updating) prediction models. These datasets typically include individuals from multiple clusters (such as multiple centres, geographical locations, or different studies). Accounting for clustering is important to avoid misleading conclusions and enables researchers to explore heterogeneity in prediction model performance across multiple centres, regions, or countries, to better tailor or match them to these different clusters, and thus to develop prediction models that are more generalisable. However, this requires prediction model researchers to adopt more specific design, analysis, and reporting methods than standard prediction model studies that do not have any inherent substantial clustering. Therefore, prediction model studies based on clustered data need to be reported differently so that readers can appraise the study methods and findings, further increasing the use and implementation of such prediction models developed or validated from clustered datasets.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1136/bmj-2022-071018
- https://www.bmj.com/content/bmj/380/bmj-2022-071018.full.pdf
- OA Status
- hybrid
- Cited By
- 50
- References
- 51
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4319460509
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4319460509Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1136/bmj-2022-071018Digital Object Identifier
- Title
-
Transparent reporting of multivariable prediction models developed or validated using clustered data: TRIPOD-Cluster checklistWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-02-07Full publication date if available
- Authors
-
Thomas P. A. Debray, Gary S. Collins, Richard D Riley, Kym I E Snell, Ben Van Calster, Johannes B. Reitsma, Karel G. M. MoonsList of authors in order
- Landing page
-
https://doi.org/10.1136/bmj-2022-071018Publisher landing page
- PDF URL
-
https://www.bmj.com/content/bmj/380/bmj-2022-071018.full.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://www.bmj.com/content/bmj/380/bmj-2022-071018.full.pdfDirect OA link when available
- Concepts
-
Computer science, Cluster analysis, Data mining, Predictive modelling, Checklist, Multivariable calculus, Cluster (spacecraft), Data science, Machine learning, Control engineering, Engineering, Cognitive psychology, Psychology, Programming languageTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
50Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 20, 2024: 18, 2023: 11, 2022: 1Per-year citation counts (last 5 years)
- References (count)
-
51Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4319460509 |
|---|---|
| doi | https://doi.org/10.1136/bmj-2022-071018 |
| ids.doi | https://doi.org/10.1136/bmj-2022-071018 |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/36750242 |
| ids.openalex | https://openalex.org/W4319460509 |
| fwci | 31.2894009 |
| mesh[0].qualifier_ui | |
| mesh[0].descriptor_ui | D006801 |
| mesh[0].is_major_topic | False |
| mesh[0].qualifier_name | |
| mesh[0].descriptor_name | Humans |
| mesh[1].qualifier_ui | |
| mesh[1].descriptor_ui | D057189 |
| mesh[1].is_major_topic | True |
| mesh[1].qualifier_name | |
| mesh[1].descriptor_name | Checklist |
| mesh[2].qualifier_ui | |
| mesh[2].descriptor_ui | D011379 |
| mesh[2].is_major_topic | False |
| mesh[2].qualifier_name | |
| mesh[2].descriptor_name | Prognosis |
| mesh[3].qualifier_ui | |
| mesh[3].descriptor_ui | D015233 |
| mesh[3].is_major_topic | True |
| mesh[3].qualifier_name | |
| mesh[3].descriptor_name | Models, Statistical |
| mesh[4].qualifier_ui | |
| mesh[4].descriptor_ui | D006801 |
| mesh[4].is_major_topic | False |
| mesh[4].qualifier_name | |
| mesh[4].descriptor_name | Humans |
| mesh[5].qualifier_ui | |
| mesh[5].descriptor_ui | D057189 |
| mesh[5].is_major_topic | True |
| mesh[5].qualifier_name | |
| mesh[5].descriptor_name | Checklist |
| mesh[6].qualifier_ui | |
| mesh[6].descriptor_ui | D011379 |
| mesh[6].is_major_topic | False |
| mesh[6].qualifier_name | |
| mesh[6].descriptor_name | Prognosis |
| mesh[7].qualifier_ui | |
| mesh[7].descriptor_ui | D015233 |
| mesh[7].is_major_topic | True |
| mesh[7].qualifier_name | |
| mesh[7].descriptor_name | Models, Statistical |
| mesh[8].qualifier_ui | |
| mesh[8].descriptor_ui | D006801 |
| mesh[8].is_major_topic | False |
| mesh[8].qualifier_name | |
| mesh[8].descriptor_name | Humans |
| mesh[9].qualifier_ui | |
| mesh[9].descriptor_ui | D057189 |
| mesh[9].is_major_topic | True |
| mesh[9].qualifier_name | |
| mesh[9].descriptor_name | Checklist |
| mesh[10].qualifier_ui | |
| mesh[10].descriptor_ui | D011379 |
| mesh[10].is_major_topic | False |
| mesh[10].qualifier_name | |
| mesh[10].descriptor_name | Prognosis |
| mesh[11].qualifier_ui | |
| mesh[11].descriptor_ui | D015233 |
| mesh[11].is_major_topic | True |
| mesh[11].qualifier_name | |
| mesh[11].descriptor_name | Models, Statistical |
| mesh[12].qualifier_ui | |
| mesh[12].descriptor_ui | D006801 |
| mesh[12].is_major_topic | False |
| mesh[12].qualifier_name | |
| mesh[12].descriptor_name | Humans |
| mesh[13].qualifier_ui | |
| mesh[13].descriptor_ui | D057189 |
| mesh[13].is_major_topic | True |
| mesh[13].qualifier_name | |
| mesh[13].descriptor_name | Checklist |
| mesh[14].qualifier_ui | |
| mesh[14].descriptor_ui | D011379 |
| mesh[14].is_major_topic | False |
| mesh[14].qualifier_name | |
| mesh[14].descriptor_name | Prognosis |
| mesh[15].qualifier_ui | |
| mesh[15].descriptor_ui | D015233 |
| mesh[15].is_major_topic | True |
| mesh[15].qualifier_name | |
| mesh[15].descriptor_name | Models, Statistical |
| type | article |
| title | Transparent reporting of multivariable prediction models developed or validated using clustered data: TRIPOD-Cluster checklist |
| biblio.issue | |
| biblio.volume | 380 |
| biblio.last_page | e071018 |
| biblio.first_page | e071018 |
| topics[0].id | https://openalex.org/T10243 |
| topics[0].field.id | https://openalex.org/fields/26 |
| topics[0].field.display_name | Mathematics |
| topics[0].score | 0.9535999894142151 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2613 |
| topics[0].subfield.display_name | Statistics and Probability |
| topics[0].display_name | Statistical Methods and Bayesian Inference |
| topics[1].id | https://openalex.org/T10144 |
| topics[1].field.id | https://openalex.org/fields/27 |
| topics[1].field.display_name | Medicine |
| topics[1].score | 0.9434999823570251 |
| topics[1].domain.id | https://openalex.org/domains/4 |
| topics[1].domain.display_name | Health Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2705 |
| topics[1].subfield.display_name | Cardiology and Cardiovascular Medicine |
| topics[1].display_name | Blood Pressure and Hypertension Studies |
| topics[2].id | https://openalex.org/T10206 |
| topics[2].field.id | https://openalex.org/fields/18 |
| topics[2].field.display_name | Decision Sciences |
| topics[2].score | 0.920199990272522 |
| topics[2].domain.id | https://openalex.org/domains/2 |
| topics[2].domain.display_name | Social Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1804 |
| topics[2].subfield.display_name | Statistics, Probability and Uncertainty |
| topics[2].display_name | Meta-analysis and systematic reviews |
| funders[0].id | https://openalex.org/F4320321730 |
| funders[0].ror | https://ror.org/03qtxy027 |
| funders[0].display_name | Fonds Wetenschappelijk Onderzoek |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C41008148 |
| concepts[0].level | 0 |
| concepts[0].score | 0.7740638256072998 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[0].display_name | Computer science |
| concepts[1].id | https://openalex.org/C73555534 |
| concepts[1].level | 2 |
| concepts[1].score | 0.6716445088386536 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q622825 |
| concepts[1].display_name | Cluster analysis |
| concepts[2].id | https://openalex.org/C124101348 |
| concepts[2].level | 1 |
| concepts[2].score | 0.6302310228347778 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q172491 |
| concepts[2].display_name | Data mining |
| concepts[3].id | https://openalex.org/C45804977 |
| concepts[3].level | 2 |
| concepts[3].score | 0.5774723291397095 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q7239673 |
| concepts[3].display_name | Predictive modelling |
| concepts[4].id | https://openalex.org/C2779356329 |
| concepts[4].level | 2 |
| concepts[4].score | 0.5586714744567871 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q922625 |
| concepts[4].display_name | Checklist |
| concepts[5].id | https://openalex.org/C117312493 |
| concepts[5].level | 2 |
| concepts[5].score | 0.47445687651634216 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q2035437 |
| concepts[5].display_name | Multivariable calculus |
| concepts[6].id | https://openalex.org/C164866538 |
| concepts[6].level | 2 |
| concepts[6].score | 0.44201427698135376 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q367351 |
| concepts[6].display_name | Cluster (spacecraft) |
| concepts[7].id | https://openalex.org/C2522767166 |
| concepts[7].level | 1 |
| concepts[7].score | 0.39897093176841736 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q2374463 |
| concepts[7].display_name | Data science |
| concepts[8].id | https://openalex.org/C119857082 |
| concepts[8].level | 1 |
| concepts[8].score | 0.3024784028530121 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q2539 |
| concepts[8].display_name | Machine learning |
| concepts[9].id | https://openalex.org/C133731056 |
| concepts[9].level | 1 |
| concepts[9].score | 0.0 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q4917288 |
| concepts[9].display_name | Control engineering |
| concepts[10].id | https://openalex.org/C127413603 |
| concepts[10].level | 0 |
| concepts[10].score | 0.0 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[10].display_name | Engineering |
| concepts[11].id | https://openalex.org/C180747234 |
| concepts[11].level | 1 |
| concepts[11].score | 0.0 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q23373 |
| concepts[11].display_name | Cognitive psychology |
| concepts[12].id | https://openalex.org/C15744967 |
| concepts[12].level | 0 |
| concepts[12].score | 0.0 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q9418 |
| concepts[12].display_name | Psychology |
| concepts[13].id | https://openalex.org/C199360897 |
| concepts[13].level | 1 |
| concepts[13].score | 0.0 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q9143 |
| concepts[13].display_name | Programming language |
| keywords[0].id | https://openalex.org/keywords/computer-science |
| keywords[0].score | 0.7740638256072998 |
| keywords[0].display_name | Computer science |
| keywords[1].id | https://openalex.org/keywords/cluster-analysis |
| keywords[1].score | 0.6716445088386536 |
| keywords[1].display_name | Cluster analysis |
| keywords[2].id | https://openalex.org/keywords/data-mining |
| keywords[2].score | 0.6302310228347778 |
| keywords[2].display_name | Data mining |
| keywords[3].id | https://openalex.org/keywords/predictive-modelling |
| keywords[3].score | 0.5774723291397095 |
| keywords[3].display_name | Predictive modelling |
| keywords[4].id | https://openalex.org/keywords/checklist |
| keywords[4].score | 0.5586714744567871 |
| keywords[4].display_name | Checklist |
| keywords[5].id | https://openalex.org/keywords/multivariable-calculus |
| keywords[5].score | 0.47445687651634216 |
| keywords[5].display_name | Multivariable calculus |
| keywords[6].id | https://openalex.org/keywords/cluster |
| keywords[6].score | 0.44201427698135376 |
| keywords[6].display_name | Cluster (spacecraft) |
| keywords[7].id | https://openalex.org/keywords/data-science |
| keywords[7].score | 0.39897093176841736 |
| keywords[7].display_name | Data science |
| keywords[8].id | https://openalex.org/keywords/machine-learning |
| keywords[8].score | 0.3024784028530121 |
| keywords[8].display_name | Machine learning |
| language | en |
| locations[0].id | doi:10.1136/bmj-2022-071018 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4393917726 |
| locations[0].source.issn | 1756-1833 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | 1756-1833 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | BMJ |
| locations[0].source.host_organization | |
| locations[0].source.host_organization_name | |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://www.bmj.com/content/bmj/380/bmj-2022-071018.full.pdf |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | BMJ |
| locations[0].landing_page_url | https://doi.org/10.1136/bmj-2022-071018 |
| locations[1].id | pmid:36750242 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306525036 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | PubMed |
| locations[1].source.host_organization | https://openalex.org/I1299303238 |
| locations[1].source.host_organization_name | National Institutes of Health |
| locations[1].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | publishedVersion |
| locations[1].raw_type | |
| locations[1].license_id | |
| locations[1].is_accepted | True |
| locations[1].is_published | True |
| locations[1].raw_source_name | BMJ (Clinical research ed.) |
| locations[1].landing_page_url | https://pubmed.ncbi.nlm.nih.gov/36750242 |
| locations[2].id | pmh:oai:lirias2repo.kuleuven.be:20.500.12942/714892 |
| locations[2].is_oa | True |
| locations[2].source.id | https://openalex.org/S4306401954 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | False |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | Lirias (KU Leuven) |
| locations[2].source.host_organization | https://openalex.org/I99464096 |
| locations[2].source.host_organization_name | KU Leuven |
| locations[2].source.host_organization_lineage | https://openalex.org/I99464096 |
| locations[2].license | cc-by |
| locations[2].pdf_url | |
| locations[2].version | acceptedVersion |
| locations[2].raw_type | info:eu-repo/semantics/article |
| locations[2].license_id | https://openalex.org/licenses/cc-by |
| locations[2].is_accepted | True |
| locations[2].is_published | False |
| locations[2].raw_source_name | |
| locations[2].landing_page_url | https://lirias.kuleuven.be/handle/20.500.12942/714892 |
| locations[3].id | pmh:oai:eprints.keele.ac.uk:12026 |
| locations[3].is_oa | True |
| locations[3].source.id | https://openalex.org/S4306402149 |
| locations[3].source.issn | |
| locations[3].source.type | repository |
| locations[3].source.is_oa | False |
| locations[3].source.issn_l | |
| locations[3].source.is_core | False |
| locations[3].source.is_in_doaj | False |
| locations[3].source.display_name | Keele Research Repository (Keele University) |
| locations[3].source.host_organization | https://openalex.org/I56007636 |
| locations[3].source.host_organization_name | Keele University |
| locations[3].source.host_organization_lineage | https://openalex.org/I56007636 |
| locations[3].license | cc-by |
| locations[3].pdf_url | |
| locations[3].version | submittedVersion |
| locations[3].raw_type | Article |
| locations[3].license_id | https://openalex.org/licenses/cc-by |
| locations[3].is_accepted | False |
| locations[3].is_published | False |
| locations[3].raw_source_name | |
| locations[3].landing_page_url | https://eprints.keele.ac.uk/id/eprint/12026/1/bmj-2022-071018.full.pdf |
| locations[4].id | pmh:oai:pubmedcentral.nih.gov:9903175 |
| locations[4].is_oa | True |
| locations[4].source.id | https://openalex.org/S2764455111 |
| locations[4].source.issn | |
| locations[4].source.type | repository |
| locations[4].source.is_oa | False |
| locations[4].source.issn_l | |
| locations[4].source.is_core | False |
| locations[4].source.is_in_doaj | False |
| locations[4].source.display_name | PubMed Central |
| locations[4].source.host_organization | https://openalex.org/I1299303238 |
| locations[4].source.host_organization_name | National Institutes of Health |
| locations[4].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[4].license | other-oa |
| locations[4].pdf_url | |
| locations[4].version | submittedVersion |
| locations[4].raw_type | Text |
| locations[4].license_id | https://openalex.org/licenses/other-oa |
| locations[4].is_accepted | False |
| locations[4].is_published | False |
| locations[4].raw_source_name | BMJ |
| locations[4].landing_page_url | https://www.ncbi.nlm.nih.gov/pmc/articles/9903175 |
| locations[5].id | pmh:oai:pure.atira.dk:publications/33789b1d-f650-4be9-9937-8ac18e81c831 |
| locations[5].is_oa | True |
| locations[5].source.id | https://openalex.org/S4306400216 |
| locations[5].source.issn | |
| locations[5].source.type | repository |
| locations[5].source.is_oa | False |
| locations[5].source.issn_l | |
| locations[5].source.is_core | False |
| locations[5].source.is_in_doaj | False |
| locations[5].source.display_name | Research Portal (King's College London) |
| locations[5].source.host_organization | https://openalex.org/I183935753 |
| locations[5].source.host_organization_name | King's College London |
| locations[5].source.host_organization_lineage | https://openalex.org/I183935753 |
| locations[5].license | cc-by |
| locations[5].pdf_url | |
| locations[5].version | submittedVersion |
| locations[5].raw_type | |
| locations[5].license_id | https://openalex.org/licenses/cc-by |
| locations[5].is_accepted | False |
| locations[5].is_published | False |
| locations[5].raw_source_name | |
| locations[5].landing_page_url | https://birmingham.elsevierpure.com/en/publications/33789b1d-f650-4be9-9937-8ac18e81c831 |
| indexed_in | crossref, pubmed |
| authorships[0].author.id | https://openalex.org/A5002390430 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-1790-2719 |
| authorships[0].author.display_name | Thomas P. A. Debray |
| authorships[0].countries | NL |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I193662353, https://openalex.org/I3018483916 |
| authorships[0].affiliations[0].raw_affiliation_string | Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands |
| authorships[0].affiliations[1].institution_ids | https://openalex.org/I193662353, https://openalex.org/I3018483916 |
| authorships[0].affiliations[1].raw_affiliation_string | Cochrane Netherlands, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands |
| authorships[0].institutions[0].id | https://openalex.org/I3018483916 |
| authorships[0].institutions[0].ror | https://ror.org/0575yy874 |
| authorships[0].institutions[0].type | healthcare |
| authorships[0].institutions[0].lineage | https://openalex.org/I3018483916 |
| authorships[0].institutions[0].country_code | NL |
| authorships[0].institutions[0].display_name | University Medical Center Utrecht |
| authorships[0].institutions[1].id | https://openalex.org/I193662353 |
| authorships[0].institutions[1].ror | https://ror.org/04pp8hn57 |
| authorships[0].institutions[1].type | education |
| authorships[0].institutions[1].lineage | https://openalex.org/I193662353 |
| authorships[0].institutions[1].country_code | NL |
| authorships[0].institutions[1].display_name | Utrecht University |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Thomas P A Debray |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Cochrane Netherlands, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands, Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands |
| authorships[1].author.id | https://openalex.org/A5060891981 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-2772-2316 |
| authorships[1].author.display_name | Gary S. Collins |
| authorships[1].countries | GB |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I2801809904, https://openalex.org/I40120149 |
| authorships[1].affiliations[0].raw_affiliation_string | Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Botnar Research Centre, University of Oxford, Oxford, UK |
| authorships[1].affiliations[1].institution_ids | https://openalex.org/I2802742124 |
| authorships[1].affiliations[1].raw_affiliation_string | NIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK |
| authorships[1].institutions[0].id | https://openalex.org/I2802742124 |
| authorships[1].institutions[0].ror | https://ror.org/0080acb59 |
| authorships[1].institutions[0].type | healthcare |
| authorships[1].institutions[0].lineage | https://openalex.org/I2802742124, https://openalex.org/I4210127145, https://openalex.org/I4210147381 |
| authorships[1].institutions[0].country_code | GB |
| authorships[1].institutions[0].display_name | John Radcliffe Hospital |
| authorships[1].institutions[1].id | https://openalex.org/I2801809904 |
| authorships[1].institutions[1].ror | https://ror.org/0036ate90 |
| authorships[1].institutions[1].type | healthcare |
| authorships[1].institutions[1].lineage | https://openalex.org/I2801809904, https://openalex.org/I4210147381 |
| authorships[1].institutions[1].country_code | GB |
| authorships[1].institutions[1].display_name | Nuffield Orthopaedic Centre |
| authorships[1].institutions[2].id | https://openalex.org/I40120149 |
| authorships[1].institutions[2].ror | https://ror.org/052gg0110 |
| authorships[1].institutions[2].type | education |
| authorships[1].institutions[2].lineage | https://openalex.org/I40120149 |
| authorships[1].institutions[2].country_code | GB |
| authorships[1].institutions[2].display_name | University of Oxford |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Gary S Collins |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Botnar Research Centre, University of Oxford, Oxford, UK, NIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK |
| authorships[2].author.id | https://openalex.org/A5040942978 |
| authorships[2].author.orcid | https://orcid.org/0000-0001-8699-0735 |
| authorships[2].author.display_name | Richard D Riley |
| authorships[2].countries | GB |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I56007636 |
| authorships[2].affiliations[0].raw_affiliation_string | Centre for Prognosis Research, School of Primary, Community and Social Care, Keele University, Keele, UK |
| authorships[2].institutions[0].id | https://openalex.org/I56007636 |
| authorships[2].institutions[0].ror | https://ror.org/00340yn33 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I56007636 |
| authorships[2].institutions[0].country_code | GB |
| authorships[2].institutions[0].display_name | Keele University |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Richard D Riley |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Centre for Prognosis Research, School of Primary, Community and Social Care, Keele University, Keele, UK |
| authorships[3].author.id | https://openalex.org/A5049252097 |
| authorships[3].author.orcid | https://orcid.org/0000-0001-9373-6591 |
| authorships[3].author.display_name | Kym I E Snell |
| authorships[3].countries | GB |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I56007636 |
| authorships[3].affiliations[0].raw_affiliation_string | Centre for Prognosis Research, School of Primary, Community and Social Care, Keele University, Keele, UK |
| authorships[3].institutions[0].id | https://openalex.org/I56007636 |
| authorships[3].institutions[0].ror | https://ror.org/00340yn33 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I56007636 |
| authorships[3].institutions[0].country_code | GB |
| authorships[3].institutions[0].display_name | Keele University |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Kym I E Snell |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Centre for Prognosis Research, School of Primary, Community and Social Care, Keele University, Keele, UK |
| authorships[4].author.id | https://openalex.org/A5086320066 |
| authorships[4].author.orcid | https://orcid.org/0000-0003-1613-7450 |
| authorships[4].author.display_name | Ben Van Calster |
| authorships[4].countries | BE |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I99464096 |
| authorships[4].affiliations[0].raw_affiliation_string | Department of Development and Regeneration, KU Leuven, Leuven, Belgium |
| authorships[4].institutions[0].id | https://openalex.org/I99464096 |
| authorships[4].institutions[0].ror | https://ror.org/05f950310 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I99464096 |
| authorships[4].institutions[0].country_code | BE |
| authorships[4].institutions[0].display_name | KU Leuven |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Ben Van Calster |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Department of Development and Regeneration, KU Leuven, Leuven, Belgium |
| authorships[5].author.id | https://openalex.org/A5007039126 |
| authorships[5].author.orcid | https://orcid.org/0000-0003-4026-4345 |
| authorships[5].author.display_name | Johannes B. Reitsma |
| authorships[5].countries | NL |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I193662353, https://openalex.org/I3018483916 |
| authorships[5].affiliations[0].raw_affiliation_string | Cochrane Netherlands, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands |
| authorships[5].affiliations[1].institution_ids | https://openalex.org/I193662353, https://openalex.org/I3018483916 |
| authorships[5].affiliations[1].raw_affiliation_string | Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands |
| authorships[5].institutions[0].id | https://openalex.org/I3018483916 |
| authorships[5].institutions[0].ror | https://ror.org/0575yy874 |
| authorships[5].institutions[0].type | healthcare |
| authorships[5].institutions[0].lineage | https://openalex.org/I3018483916 |
| authorships[5].institutions[0].country_code | NL |
| authorships[5].institutions[0].display_name | University Medical Center Utrecht |
| authorships[5].institutions[1].id | https://openalex.org/I193662353 |
| authorships[5].institutions[1].ror | https://ror.org/04pp8hn57 |
| authorships[5].institutions[1].type | education |
| authorships[5].institutions[1].lineage | https://openalex.org/I193662353 |
| authorships[5].institutions[1].country_code | NL |
| authorships[5].institutions[1].display_name | Utrecht University |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Johannes B Reitsma |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | Cochrane Netherlands, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands, Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands |
| authorships[6].author.id | https://openalex.org/A5107852791 |
| authorships[6].author.orcid | https://orcid.org/0009-0004-7797-1056 |
| authorships[6].author.display_name | Karel G. M. Moons |
| authorships[6].countries | NL |
| authorships[6].affiliations[0].institution_ids | https://openalex.org/I193662353, https://openalex.org/I3018483916 |
| authorships[6].affiliations[0].raw_affiliation_string | Cochrane Netherlands, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands |
| authorships[6].affiliations[1].institution_ids | https://openalex.org/I193662353, https://openalex.org/I3018483916 |
| authorships[6].affiliations[1].raw_affiliation_string | Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands |
| authorships[6].institutions[0].id | https://openalex.org/I3018483916 |
| authorships[6].institutions[0].ror | https://ror.org/0575yy874 |
| authorships[6].institutions[0].type | healthcare |
| authorships[6].institutions[0].lineage | https://openalex.org/I3018483916 |
| authorships[6].institutions[0].country_code | NL |
| authorships[6].institutions[0].display_name | University Medical Center Utrecht |
| authorships[6].institutions[1].id | https://openalex.org/I193662353 |
| authorships[6].institutions[1].ror | https://ror.org/04pp8hn57 |
| authorships[6].institutions[1].type | education |
| authorships[6].institutions[1].lineage | https://openalex.org/I193662353 |
| authorships[6].institutions[1].country_code | NL |
| authorships[6].institutions[1].display_name | Utrecht University |
| authorships[6].author_position | last |
| authorships[6].raw_author_name | Karel G M Moons |
| authorships[6].is_corresponding | False |
| authorships[6].raw_affiliation_strings | Cochrane Netherlands, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands, Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.bmj.com/content/bmj/380/bmj-2022-071018.full.pdf |
| open_access.oa_status | hybrid |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Transparent reporting of multivariable prediction models developed or validated using clustered data: TRIPOD-Cluster checklist |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10243 |
| primary_topic.field.id | https://openalex.org/fields/26 |
| primary_topic.field.display_name | Mathematics |
| primary_topic.score | 0.9535999894142151 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2613 |
| primary_topic.subfield.display_name | Statistics and Probability |
| primary_topic.display_name | Statistical Methods and Bayesian Inference |
| related_works | https://openalex.org/W1576377477, https://openalex.org/W2721687755, https://openalex.org/W4234875088, https://openalex.org/W2224575301, https://openalex.org/W2013796470, https://openalex.org/W418212511, https://openalex.org/W2388146630, https://openalex.org/W2086932047, https://openalex.org/W2420514274, https://openalex.org/W2001467811 |
| cited_by_count | 50 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 20 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 18 |
| counts_by_year[2].year | 2023 |
| counts_by_year[2].cited_by_count | 11 |
| counts_by_year[3].year | 2022 |
| counts_by_year[3].cited_by_count | 1 |
| locations_count | 6 |
| best_oa_location.id | doi:10.1136/bmj-2022-071018 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4393917726 |
| best_oa_location.source.issn | 1756-1833 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | 1756-1833 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | BMJ |
| best_oa_location.source.host_organization | |
| best_oa_location.source.host_organization_name | |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://www.bmj.com/content/bmj/380/bmj-2022-071018.full.pdf |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | BMJ |
| best_oa_location.landing_page_url | https://doi.org/10.1136/bmj-2022-071018 |
| primary_location.id | doi:10.1136/bmj-2022-071018 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4393917726 |
| primary_location.source.issn | 1756-1833 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | 1756-1833 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | BMJ |
| primary_location.source.host_organization | |
| primary_location.source.host_organization_name | |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://www.bmj.com/content/bmj/380/bmj-2022-071018.full.pdf |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | BMJ |
| primary_location.landing_page_url | https://doi.org/10.1136/bmj-2022-071018 |
| publication_date | 2023-02-07 |
| publication_year | 2023 |
| referenced_works | https://openalex.org/W1994224528, https://openalex.org/W2136085913, https://openalex.org/W4242807082, https://openalex.org/W2297716127, https://openalex.org/W2115709314, https://openalex.org/W1998392635, https://openalex.org/W2913997948, https://openalex.org/W2082376914, https://openalex.org/W2042080283, https://openalex.org/W2109642736, https://openalex.org/W2078271269, https://openalex.org/W1994682257, https://openalex.org/W2167702473, https://openalex.org/W1906965911, https://openalex.org/W2761618278, https://openalex.org/W2971515944, https://openalex.org/W1810100348, https://openalex.org/W2951224273, https://openalex.org/W2037747002, https://openalex.org/W2070921889, https://openalex.org/W2020427028, https://openalex.org/W6653736120, https://openalex.org/W2618596952, https://openalex.org/W1999057264, https://openalex.org/W2193276235, https://openalex.org/W2099846538, https://openalex.org/W2078317138, https://openalex.org/W2167996703, https://openalex.org/W2160489028, https://openalex.org/W4233080080, https://openalex.org/W2956906715, https://openalex.org/W4248033032, https://openalex.org/W2122892545, https://openalex.org/W3037428720, https://openalex.org/W1987915768, https://openalex.org/W2953059279, https://openalex.org/W1997192661, https://openalex.org/W2225109326, https://openalex.org/W2162491525, https://openalex.org/W2522940053, https://openalex.org/W3158685113, https://openalex.org/W2093038967, https://openalex.org/W2050118439, https://openalex.org/W2116810060, https://openalex.org/W2163278718, https://openalex.org/W2907638671, https://openalex.org/W2907554860, https://openalex.org/W4239301040, https://openalex.org/W2102330235, https://openalex.org/W3115448160, https://openalex.org/W2013872126 |
| referenced_works_count | 51 |
| abstract_inverted_index.as | 11, 46 |
| abstract_inverted_index.be | 137 |
| abstract_inverted_index.do | 120 |
| abstract_inverted_index.in | 69 |
| abstract_inverted_index.is | 57 |
| abstract_inverted_index.of | 3, 156 |
| abstract_inverted_index.on | 132 |
| abstract_inverted_index.or | 51, 77, 82, 161 |
| abstract_inverted_index.so | 140 |
| abstract_inverted_index.to | 59, 66, 79, 85, 91, 105, 136 |
| abstract_inverted_index.(or | 7 |
| abstract_inverted_index.The | 0 |
| abstract_inverted_index.and | 17, 26, 31, 63, 89, 111, 148, 154 |
| abstract_inverted_index.any | 123 |
| abstract_inverted_index.are | 96 |
| abstract_inverted_index.big | 8 |
| abstract_inverted_index.can | 143 |
| abstract_inverted_index.for | 28, 55 |
| abstract_inverted_index.new | 24 |
| abstract_inverted_index.not | 121 |
| abstract_inverted_index.the | 145, 152 |
| abstract_inverted_index.use | 153 |
| abstract_inverted_index.data | 21, 134 |
| abstract_inverted_index.from | 13, 18, 42, 163 |
| abstract_inverted_index.have | 122 |
| abstract_inverted_index.more | 97, 107 |
| abstract_inverted_index.need | 135 |
| abstract_inverted_index.such | 10, 157 |
| abstract_inverted_index.than | 114 |
| abstract_inverted_index.that | 95, 119, 141 |
| abstract_inverted_index.them | 84 |
| abstract_inverted_index.this | 100 |
| abstract_inverted_index.thus | 90 |
| abstract_inverted_index.(such | 45 |
| abstract_inverted_index.These | 37 |
| abstract_inverted_index.adopt | 106 |
| abstract_inverted_index.avoid | 60 |
| abstract_inverted_index.based | 131 |
| abstract_inverted_index.large | 4 |
| abstract_inverted_index.match | 83 |
| abstract_inverted_index.model | 71, 103, 117, 129 |
| abstract_inverted_index.study | 146 |
| abstract_inverted_index.these | 86 |
| abstract_inverted_index.those | 12 |
| abstract_inverted_index.across | 73 |
| abstract_inverted_index.better | 80 |
| abstract_inverted_index.data), | 9 |
| abstract_inverted_index.health | 15 |
| abstract_inverted_index.models | 94, 159 |
| abstract_inverted_index.tailor | 81 |
| abstract_inverted_index.design, | 109 |
| abstract_inverted_index.develop | 92 |
| abstract_inverted_index.enables | 64 |
| abstract_inverted_index.explore | 67 |
| abstract_inverted_index.further | 150 |
| abstract_inverted_index.include | 40 |
| abstract_inverted_index.methods | 113, 147 |
| abstract_inverted_index.models. | 36 |
| abstract_inverted_index.readers | 142 |
| abstract_inverted_index.records | 16 |
| abstract_inverted_index.studies | 118, 130 |
| abstract_inverted_index.However, | 99 |
| abstract_inverted_index.appraise | 144 |
| abstract_inverted_index.centres, | 48, 75 |
| abstract_inverted_index.clusters | 44 |
| abstract_inverted_index.combined | 5 |
| abstract_inverted_index.datasets | 6, 38 |
| abstract_inverted_index.inherent | 124 |
| abstract_inverted_index.multiple | 43, 47, 74 |
| abstract_inverted_index.provides | 23 |
| abstract_inverted_index.regions, | 76 |
| abstract_inverted_index.reported | 138 |
| abstract_inverted_index.requires | 101 |
| abstract_inverted_index.specific | 108 |
| abstract_inverted_index.standard | 115 |
| abstract_inverted_index.analysis, | 110 |
| abstract_inverted_index.clustered | 133, 164 |
| abstract_inverted_index.clusters, | 88 |
| abstract_inverted_index.datasets. | 165 |
| abstract_inverted_index.developed | 160 |
| abstract_inverted_index.different | 52, 87 |
| abstract_inverted_index.findings, | 149 |
| abstract_inverted_index.important | 58 |
| abstract_inverted_index.reporting | 112 |
| abstract_inverted_index.studies). | 53 |
| abstract_inverted_index.typically | 39 |
| abstract_inverted_index.updating) | 34 |
| abstract_inverted_index.validated | 162 |
| abstract_inverted_index.(including | 33 |
| abstract_inverted_index.Accounting | 54 |
| abstract_inverted_index.Therefore, | 127 |
| abstract_inverted_index.challenges | 27 |
| abstract_inverted_index.clustering | 56 |
| abstract_inverted_index.countries, | 78 |
| abstract_inverted_index.developing | 30 |
| abstract_inverted_index.electronic | 14 |
| abstract_inverted_index.increasing | 1, 151 |
| abstract_inverted_index.individual | 19 |
| abstract_inverted_index.locations, | 50 |
| abstract_inverted_index.misleading | 61 |
| abstract_inverted_index.prediction | 35, 70, 93, 102, 116, 128, 158 |
| abstract_inverted_index.validating | 32 |
| abstract_inverted_index.clustering. | 126 |
| abstract_inverted_index.conclusions | 62 |
| abstract_inverted_index.differently | 139 |
| abstract_inverted_index.individuals | 41 |
| abstract_inverted_index.participant | 20 |
| abstract_inverted_index.performance | 72 |
| abstract_inverted_index.researchers | 29, 65, 104 |
| abstract_inverted_index.substantial | 125 |
| abstract_inverted_index.availability | 2 |
| abstract_inverted_index.geographical | 49 |
| abstract_inverted_index.heterogeneity | 68 |
| abstract_inverted_index.opportunities | 25 |
| abstract_inverted_index.generalisable. | 98 |
| abstract_inverted_index.implementation | 155 |
| abstract_inverted_index.meta-analyses, | 22 |
| cited_by_percentile_year.max | 100 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 3 |
| institutions_distinct_count | 7 |
| citation_normalized_percentile.value | 0.99625923 |
| citation_normalized_percentile.is_in_top_1_percent | True |
| citation_normalized_percentile.is_in_top_10_percent | True |