Mapping the cited evidence of ductal carcinoma in situ from the 5th edition of the World Health Organisation classification of tumours of the breast Article Swipe
Clarissa Jing Wen Wong
,
Nur Diyana Md Nasir
,
Valerie Cui Yun Koh
,
Fiona Campbell
,
Stephen B. Fox
,
Sunil R. Lakhani
,
Nickolas Myles
,
George W. Yip
,
Richard Colling
,
Ian A. Cree
,
Dilani Lokuhetty
,
Puay Hoon Tan
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1111/his.15279
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1111/his.15279
Aims Ductal carcinoma in situ (DCIS) is recognised by the World Health Organisation (WHO) Classification of Tumours (WCT) as a non‐invasive neoplastic epithelial proliferation confined to the mammary ducts and lobules. This report categorises the references cited in the DCIS chapter of the 5th edition of the WCT (Breast Tumours) according to prevailing evidence levels for evidence‐based medicine and the Hierarchy of Evidence for Tumour Pathology (HETP), identifying potential gaps that can inform subsequent editions of the WCT for this tumour. Methods and results We included all citations from the DCIS chapter of the WCT (Breast Tumours, 5th edition). Each citation was appraised according to its study design and evidence level. We developed our map of cited evidence, which is a graphical matrix of tumour type (column) and tumour descriptors (rows). Spheres were used to represent the evidence, with size and colour corresponding to their number and evidence level respectively. Thirty‐six publications were retrieved. The cited literature in the DCIS chapter comprised mainly case series and were regarded as low‐level. We found an unequal distribution of citations among tumour descriptors. ‘Pathogenesis’ and ‘prognosis and prediction’ contained the most references, while ‘clinical features’, ‘aetiology’ and ‘diagnostic molecular pathology’ had only a single citation each. ‘Prognosis and prediction’ had the greatest proportion of moderate‐ and high‐levels of evidence. Conclusion Our findings align with the disposition for observational studies inherent in the field of pathology. Our map is a springboard for future efforts in mapping all available evidence on DCIS, potentially augmenting the editorial process and future editions of WCTs.
Related Topics
Concepts
Ductal carcinoma
Citation
Pathology
Medicine
Breast cancer
Internal medicine
Cancer
Library science
Computer science
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1111/his.15279
- OA Status
- hybrid
- References
- 57
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4400762026
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4400762026Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1111/his.15279Digital Object Identifier
- Title
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Mapping the cited evidence of ductal carcinoma in situ from the 5th edition of the World Health Organisation classification of tumours of the breastWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2024Year of publication
- Publication date
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2024-07-18Full publication date if available
- Authors
-
Clarissa Jing Wen Wong, Nur Diyana Md Nasir, Valerie Cui Yun Koh, Fiona Campbell, Stephen B. Fox, Sunil R. Lakhani, Nickolas Myles, George W. Yip, Richard Colling, Ian A. Cree, Dilani Lokuhetty, Puay Hoon TanList of authors in order
- Landing page
-
https://doi.org/10.1111/his.15279Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1111/his.15279Direct OA link when available
- Concepts
-
Ductal carcinoma, Citation, Pathology, Medicine, Breast cancer, Internal medicine, Cancer, Library science, Computer scienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
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57Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.disposition | 222 |
| abstract_inverted_index.identifying | 67 |
| abstract_inverted_index.moderate‐ | 211 |
| abstract_inverted_index.potentially | 247 |
| abstract_inverted_index.references, | 188 |
| abstract_inverted_index.springboard | 236 |
| abstract_inverted_index.‘clinical | 190 |
| abstract_inverted_index.Organisation | 12 |
| abstract_inverted_index.Thirty‐six | 150 |
| abstract_inverted_index.descriptors. | 179 |
| abstract_inverted_index.distribution | 174 |
| abstract_inverted_index.features’, | 191 |
| abstract_inverted_index.low‐level. | 169 |
| abstract_inverted_index.pathology’ | 196 |
| abstract_inverted_index.publications | 151 |
| abstract_inverted_index.‘Prognosis | 203 |
| abstract_inverted_index.‘prognosis | 182 |
| abstract_inverted_index.corresponding | 142 |
| abstract_inverted_index.high‐levels | 213 |
| abstract_inverted_index.observational | 224 |
| abstract_inverted_index.prediction’ | 184, 205 |
| abstract_inverted_index.proliferation | 23 |
| abstract_inverted_index.respectively. | 149 |
| abstract_inverted_index.‘diagnostic | 194 |
| abstract_inverted_index.Classification | 14 |
| abstract_inverted_index.non‐invasive | 20 |
| abstract_inverted_index.‘aetiology’ | 192 |
| abstract_inverted_index.evidence‐based | 56 |
| abstract_inverted_index.‘Pathogenesis’ | 180 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5074190354 |
| countries_distinct_count | 4 |
| institutions_distinct_count | 12 |
| corresponding_institution_ids | https://openalex.org/I165932596 |
| citation_normalized_percentile.value | 0.20663706 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |