The Relation Between Thyroid Function and Anemia: A Pooled Analysis of Individual Participant Data Article Swipe
Daisy M. Wopereis
,
Robert S. Du Puy
,
Diana van Heemst
,
John P. Walsh
,
Alexandra Bremner
,
Stephan J. L. Bakker
,
Douglas C. Bauer
,
Anne Rentoumis Cappola
,
Graziano Ceresini
,
Jean‐Marie Degryse
,
Robin P. F. Dullaart
,
Martin Feller
,
Luigi Ferrucci
,
Carmen Floriani
,
Oscar H. Franco
,
Massimo Iacoviello
,
Georgio Iervasi
,
Misa Imaizumi
,
J. Wouter Jukema
,
Kay‐Tee Khaw
,
Robert Luben
,
Sabrina Molinaro
,
Matthias Nauck
,
Kushang V. Patel
,
Robin P. Peeters
,
Bruce M. Psaty
,
Salman Razvi
,
Roger K. Schindhelm
,
Natasja M. van Schoor
,
David J. Stott
,
Bert Vaes
,
Mark Vanderpump
,
Henry Völzke
,
Rudi G. J. Westendorp
,
Nicolas Rodondi
,
Christa M. Cobbaert
,
Jacobijn Gussekloo
,
Wendy P. J. den Elzen
·
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1210/jc.2018-00481
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1210/jc.2018-00481
Context Anemia and thyroid dysfunction often co-occur, and both increase with age. Human data on relationships between thyroid disease and anemia are scarce. Objective To investigate the cross-sectional and longitudinal associations between clinical thyroid status and anemia. Design Individual participant data meta-analysis. Setting Sixteen cohorts participating in the Thyroid Studies Collaboration (n = 42,162). Main Outcome Measures Primary outcome measure was anemia (hemoglobin <130 g/L in men and <120 g/L in women). Results Cross-sectionally, participants with abnormal thyroid status had an increased risk of having anemia compared with euthyroid participants [overt hypothyroidism, pooled OR 1.84 (95% CI 1.35 to 2.50), subclinical hypothyroidism 1.21 (1.02 to 1.43), subclinical hyperthyroidism 1.27 (1.03 to 1.57), and overt hyperthyroidism 1.69 (1.00 to 2.87)]. Hemoglobin levels were lower in all groups compared with participants with euthyroidism. In the longitudinal analyses (n = 25,466 from 14 cohorts), the pooled hazard ratio for the risk of development of anemia was 1.38 (95% CI 0.86 to 2.20) for overt hypothyroidism, 1.18 (1.00 to 1.38) for subclinical hypothyroidism, 1.15 (0.94 to 1.42) for subclinical hyperthyroidism, and 1.47 (0.91 to 2.38) for overt hyperthyroidism. Sensitivity analyses excluding thyroid medication or high levels of C-reactive protein yielded similar results. No differences in mean annual change in hemoglobin levels were observed between the thyroid hormone status groups. Conclusion Higher odds of having anemia were observed in participants with both hypothyroid function and hyperthyroid function. In addition, reduced thyroid function at baseline showed a trend of increased risk of developing anemia during follow-up. It remains to be assessed in a randomized controlled trial whether treatment is effective in reducing anemia.
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Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.1210/jc.2018-00481
- https://academic.oup.com/jcem/article-pdf/103/10/3658/25902479/jc.2018-00481.pdf
- OA Status
- bronze
- Cited By
- 65
- References
- 48
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2887125318
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2887125318Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1210/jc.2018-00481Digital Object Identifier
- Title
-
The Relation Between Thyroid Function and Anemia: A Pooled Analysis of Individual Participant DataWork title
- Type
-
reviewOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2018Year of publication
- Publication date
-
2018-08-02Full publication date if available
- Authors
-
Daisy M. Wopereis, Robert S. Du Puy, Diana van Heemst, John P. Walsh, Alexandra Bremner, Stephan J. L. Bakker, Douglas C. Bauer, Anne Rentoumis Cappola, Graziano Ceresini, Jean‐Marie Degryse, Robin P. F. Dullaart, Martin Feller, Luigi Ferrucci, Carmen Floriani, Oscar H. Franco, Massimo Iacoviello, Georgio Iervasi, Misa Imaizumi, J. Wouter Jukema, Kay‐Tee Khaw, Robert Luben, Sabrina Molinaro, Matthias Nauck, Kushang V. Patel, Robin P. Peeters, Bruce M. Psaty, Salman Razvi, Roger K. Schindhelm, Natasja M. van Schoor, David J. Stott, Bert Vaes, Mark Vanderpump, Henry Völzke, Rudi G. J. Westendorp, Nicolas Rodondi, Christa M. Cobbaert, Jacobijn Gussekloo, Wendy P. J. den ElzenList of authors in order
- Landing page
-
https://doi.org/10.1210/jc.2018-00481Publisher landing page
- PDF URL
-
https://academic.oup.com/jcem/article-pdf/103/10/3658/25902479/jc.2018-00481.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
- OA URL
-
https://academic.oup.com/jcem/article-pdf/103/10/3658/25902479/jc.2018-00481.pdfDirect OA link when available
- Concepts
-
Thyroid function, Relation (database), Medicine, Function (biology), Pooled analysis, Thyroid, Internal medicine, Physiology, Biology, Computer science, Meta-analysis, Data mining, Evolutionary biologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
65Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 9, 2024: 19, 2023: 9, 2022: 8, 2021: 12Per-year citation counts (last 5 years)
- References (count)
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48Number 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.hypothyroidism | 102 |
| abstract_inverted_index.meta-analysis. | 42 |
| abstract_inverted_index.cross-sectional | 28 |
| abstract_inverted_index.hyperthyroidism | 108, 115 |
| abstract_inverted_index.hypothyroidism, | 92, 162, 169 |
| abstract_inverted_index.hyperthyroidism, | 176 |
| abstract_inverted_index.hyperthyroidism. | 184 |
| abstract_inverted_index.Cross-sectionally, | 74 |
| cited_by_percentile_year.max | 100 |
| cited_by_percentile_year.min | 90 |
| corresponding_author_ids | https://openalex.org/A5023531401 |
| countries_distinct_count | 10 |
| institutions_distinct_count | 38 |
| corresponding_institution_ids | https://openalex.org/I2800006345 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.6600000262260437 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.92964108 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |