Evidence map›Paper›PMID 21910867›Full record

ArticleOrphanet journal of rare diseases2011

Reducing selection bias in case-control studies from rare disease registries.

J Alexander Cole, John S Taylor, Thomas N Hangartner, Neal J Weinreb, Pramod K Mistry, Aneal Khan

Abstract readEvaluation Study
In one paragraph

Article in Orphanet journal of rare diseases, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Enzyme replacement and substrate reduction therapy for Gaucher disease.The Cochrane database of systematic reviews · 2015
    Pooled it
  2. Article
  3. Observational
  4. Answer to the Letter to the Editor of V. Kumar et al. concerning "Does the use of postoperative brace help preventing mechanical complications following adult deformity surgery?" by J. Pizones et al. (Eur Spine J [2023]; doi: 10.1007/s00586-022-07521-3).European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2023
    Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. The Italian National Rare Diseases Registry.Blood transfusion = Trasfusione del sangue · 2014
    Article
  11. Article
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

6 authors.

J Alexander ColeBiomedical Data Sciences and Informatics, Genzyme, a Sanofi Company, 500 Kendall Street, Cambridge, MA 02142, USA.
John S Taylor
Thomas N Hangartner
Neal J Weinreb
Pramod K Mistry
Aneal Khan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn clinical research of rare diseases, where small patient numbers and disease heterogeneity limit study design options, registries are a valuable resource for demographic and outcome information. However, in contrast to prospective, randomized clinical trials, the observational design of registries is prone to introduce selection bias and negatively impact the validity of data analyses. The objective of the study was to demonstrate the utility of case-control matching and the risk-set method in order to control bias in data from a rare disease registry. Data from the International Collaborative Gaucher Group (ICGG) Gaucher Registry were used as an example.

methodsA case-control matching analysis using the risk-set method was conducted to identify two groups of patients with type 1 Gaucher disease in the ICGG Gaucher Registry: patients with avascular osteonecrosis (AVN) and those without AVN. The frequency distributions of gender, decade of birth, treatment status, and splenectomy status were presented for cases and controls before and after matching. Odds ratios (and 95% confidence intervals) were calculated for each variable before and after matching.

resultsThe application of case-control matching methodology results in cohorts of cases (i.e., patients with AVN) and controls (i.e., patients without AVN) who have comparable distributions for four common parameters used in subject selection: gender, year of birth (age), treatment status, and splenectomy status. Matching resulted in odds ratios of approximately 1.00, indicating no bias.

conclusionsWe demonstrated bias in case-control selection in subjects from a prototype rare disease registry and used case-control matching to minimize this bias. Therefore, this approach appears useful to study cohorts of heterogeneous patients in rare disease registries.

Indexed as

Patient SelectionRegistriesResearch DesignAdolescentAdultAgedAged, 80 and overCase-Control StudiesChildChild, PreschoolCooperative BehaviorFemaleGaucher DiseaseHumansInfantInfant, Newborn

Identifiers

PMID21910867
PMCPMC3200984

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Registered trials

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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.