Evidence map›Paper›PMID 33640484›Full record

SynthesisAnnals of epidemiology2021

Different biases in meta-analyses of case-control and cohort studies: an example from genomics and precision medicine.

Sarah A Palumbo, Janet D Robishaw, Joanne Krasnoff, Charles H Hennekens

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Annals of epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
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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

4 authors.

Sarah A PalumboCharles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL. Electronic address: spalumbo2013@health.fau.edu.
Janet D RobishawCharles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL.
Joanne KrasnoffCharles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL.
Charles H HennekensCharles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL.

Funding

Supplemental Application for Clinical and Genetic Risk Profile of Opioid Use DisorderR01DA044015 · NIDA · GEISINGER CLINIC · PI BERRETTINI, WADE H, ROBISHAW, JANET D · 2017 to 2021
$4.5M
Novel Aspects of Golf SignalingR01GM114665 · NIGMS · GEISINGER CLINIC · PI ROBISHAW, JANET D · 2015 to 2018
$1.4M
NIDA NIH HHS R01 DA044015NIGMS NIH HHS R01 GM114665
6 · The paper itself

Abstract

purposeMeta-analyses of observational studies reduce the role of chance but also introduce bias because the individual component studies are not randomized. Further, it is plausible that the bias may be different in case-control and cohort studies. We explored these issues in meta-analyses of observational studies of Opioid Use Disorder (OUD).

methodsFrom a systematic literature review of 152 published meta-analyses, 11 fulfilled the initial inclusion criteria of observational studies of OUD. Of these, 9 were meta-analyses of case-control studies and 2 were meta-analyses of cohort studies but only 4 (3 case-control and 1 cohort) targeted more than one specific chromosomal location.

resultsThe meta-analyses of the 3 case-control studies, which included 13 individual studies, identified 12 different single nucleotide polymorphisms on 6 different genes on 5 different chromosomes. None was the same as the gene on Chromosome 15 identified from the meta-analysis of the cohort studies.

conclusionsThese data, from genetic studies, suggest biases are different in meta-analyses of case-control and cohort studies, perhaps due to greater selection bias in case-control studies. These observations have potential importance in the application of meta-analyses to many common and serious diseases, as well as genomics and precision medicine, including OUD.

Indexed as

GenomicsPrecision MedicineBiasCase-Control StudiesCohort StudiesHumansBiasGenomicsMeta-analysisPrecision medicine

Identifiers

PMID33640484
PMCPMC8165016

What OpenQuestion holds

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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.