Evidence map›Paper›PMID 24686510›Full record

ReviewNature reviews. Rheumatology2014

Selection bias in rheumatic disease research.

Hyon K Choi, Uyen-Sa Nguyen, Jingbo Niu, Goodarz Danaei, Yuqing Zhang

Abstract readReview
In one paragraph

Review in Nature reviews. Rheumatology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

63 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Trial
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

3 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Hyon K ChoiSection of Rheumatology and Clinical Epidemiology Research and Training Unit, Boston University School of Medicine, 650 Albany Street, Suite 200, Boston, MA 02118, USA.
Uyen-Sa NguyenClinical Epidemiology Research and Training Unit, Boston University School of Medicine, 650 Albany Street, Suite 200, Boston, MA 02118, USA.
Jingbo NiuClinical Epidemiology Research and Training Unit, Boston University School of Medicine, 650 Albany Street, Suite 200, Boston, MA 02118, USA.
Goodarz DanaeiDepartment of Global Health and Population, Harvard School of Public Health, 665 Huntington Avenue, Building 1, Room 1107, Boston, MA 02115, USA.
Yuqing ZhangClinical Epidemiology Research and Training Unit, Boston University School of Medicine, 650 Albany Street, Suite 200, Boston, MA 02118, USA.

Funding

WORK DISABILITY-- PERSONS WITH RHEUMATOID ARTHRITISP60AR047785 · NIAMS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI FELSON, DAVID TOBIN · 2001 to 2016
$18.0M
NOVEL METABOLITE AND MICROBIOTA PATHWAYS FOR HYPERURICEMIA AND GOUTR01AR065944 · NIAMS · MASSACHUSETTS GENERAL HOSPITAL · PI CHOI, HYON K · 2013 to 2025
$4.2M
Genetics of GoutR01AR056291 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI CHOI, HYON K · 2008 to 2011
$2.9M
Collider Bias and the Risk Factor Paradoxes in Rheumatic Disease ResearchK01AR064351 · NIAMS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI NGUYEN, UYEN-SA DUC TRAN · 2013 to 2017
$617k
NIAMS NIH HHS K01 AR064351NIAMS NIH HHS K01AR064351NIAMS NIH HHS P60 AR047785NIAMS NIH HHS P60AR047785NIAMS NIH HHS R01 AR056291NIAMS NIH HHS R01-AR056291NIAMS NIH HHS R01 AR065944NIAMS NIH HHS R01-AR065944
6 · The paper itself

Abstract

The identification of modifiable risk factors for the development of rheumatic conditions and their sequelae is crucial for reducing the substantial worldwide burden of these diseases. However, the validity of such research can be threatened by sources of bias, including confounding, measurement and selection biases. In this Review, we discuss potentially major issues of selection bias--a type of bias frequently overshadowed by other bias and feasibility issues, despite being equally or more problematic--in key areas of rheumatic disease research. We present index event bias (a type of selection bias) as one of the potentially unifying reasons behind some unexpected findings, such as the 'risk factor paradox'--a phenomenon exemplified by the discrepant effects of certain risk factors on the development versus the progression of osteoarthritis (OA) or rheumatoid arthritis (RA). We also discuss potential selection biases owing to differential loss to follow-up in RA and OA research, as well as those due to the depletion of susceptibles (prevalent user bias) and immortal time bias. The lesson remains that selection bias can be ubiquitous and, therefore, has the potential to lead the field astray. Thus, we conclude with suggestions to help investigators avoid such issues and limit the impact on future rheumatology research.

Indexed as

ArthritisArthritis, RheumatoidCost of IllnessDisease ProgressionHumansOsteoarthritisRheumatic DiseasesRisk FactorsSelection BiasTime Factors

Identifiers

PMID24686510
PMCPMC4260806

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.