Evidence map›Paper›PMID 37215072›Full record

ArticleBMJ medicine2023

Defining representativeness of study samples in medical and population health research.

Jacqueline E Rudolph, Yongqi Zhong, Priya Duggal, Shruti H Mehta, Bryan Lau

Abstract read
In one paragraph

Article in BMJ medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing 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

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

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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.

Jacqueline E RudolphDepartment of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.ORCID 0000-0001-7177-1847
Yongqi ZhongDepartment of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
Priya DuggalDepartment of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
Shruti H MehtaDepartment of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
Bryan LauDepartment of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.

Funding

The AIDS Linked to the Intravenous Experience (ALIVE) StudyU01DA036297 · NIDA · JOHNS HOPKINS UNIVERSITY · PI Gregory D Kirk, Shruti H Mehta · 2014 to 2026
$28.9M
Alcohol Research Consortium in HIV: Relapse Prevention ArmP01AA029544 · NIAAA · JOHNS HOPKINS UNIVERSITY · PI CHANDER, GEETANJALI, MCCAUL, MARY E · 2021 to 2025
$7.1M
3/4 Alcohol Research Consortium in HIV - Epidemiological Research Arm (ARCH-ERA)U01AA020793 · NIAAA · UNIVERSITY OF WASHINGTON · PI CRANE, HEIDI M., LAU, BRYAN · 2011 to 2020
$5.8M
Medicaid data as a complement to cohort studies for investigating cancers among older people with HIVR01CA250851 · NCI · JOHNS HOPKINS UNIVERSITY · PI Corinne E. Joshu, Bryan Lau · 2020 to 2026
$4.8M
At the Intersection of HIV and COVID-19: Medicaid Data as a Complement to Cohort StudiesR01AI170240 · NIAID · JOHNS HOPKINS UNIVERSITY · PI JOSHU, CORINNE E., LAU, BRYAN · 2022 to 2025
$3.8M
The short and long-term dynamics of opioid/stimulant use: Mixed methods to informoverdose prevention and treatment related to polysubstance useR01DA057673 · NIDA · JOHNS HOPKINS UNIVERSITY · PI DANIELLE GERMAN, Becky Lynn Genberg · 2022 to 2026
$3.6M
NCI NIH HHS R01 CA250851NIAAA NIH HHS P01 AA029544NIAAA NIH HHS U01 AA020793NIAID NIH HHS R01 AI170240NIDA NIH HHS R01 DA057673NIDA NIH HHS U01 DA036297
6 · The paper itself

Abstract

Medical and population health science researchers frequently make ambiguous statements about whether they believe their study sample or results are representative of some (implicit or explicit) target population. This article provides a comprehensive definition of representativeness, with the goal of capturing the different ways in which a study can be representative of a target population. It is proposed that a study is representative if the estimate obtained in the study sample is generalisable to the target population (owing to representative sampling, estimation of stratum specific effects, or quantitative methods to generalise or transport estimates) or the interpretation of the results is generalisable to the target population (based on fundamental scientific premises and substantive background knowledge). This definition is explored in the context of four covid-19 studies, ranging from laboratory science to descriptive epidemiology. All statements regarding representativeness should make clear the way in which the study results generalise, the target population the results are being generalised to, and the assumptions that must hold for that generalisation to be scientifically or statistically justifiable.

Indexed as

EpidemiologyPublic healthResearch designStatistics

Identifiers

PMID37215072
PMCPMC10193086

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.