Evidence map›Paper›PMID 38752987›Full record

RevieweLife2024

Misstatements, misperceptions, and mistakes in controlling for covariates in observational research.

Xiaoxin Yu, Roger S Zoh, David A Fluharty, Luis M Mestre, Danny Valdez, Carmen D Tekwe, Colby J Vorland, Yasaman Jamshidi-Naeini, Sy Han Chiou, Stella T Lartey and 1 more

Abstract readReview
In one paragraph

Review in eLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Observational
  3. Focused ultrasound for brain metastases.Neuro-oncology advances · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Review
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

11 authors.

Xiaoxin Yu *Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, United States.ORCID https://orcid.org/0000-0002-3679-2455
Roger S Zoh *Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, United States.ORCID https://orcid.org/0000-0002-8066-1153
David A FluhartyDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, United States.
Luis M MestreDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, United States.
Danny ValdezDepartment of Applied Health Science, Indiana University School of Public Health-Bloomington, Bloomington, United States.
Carmen D TekweDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, United States.
Colby J VorlandDepartment of Applied Health Science, Indiana University School of Public Health-Bloomington, Bloomington, United States.ORCID https://orcid.org/0000-0003-4225-372X
Yasaman Jamshidi-NaeiniDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, United States.
Sy Han ChiouDepartment of Statistics and Data Science, Southern Methodist University, Dallas, United States.
Stella T LarteyUniversity of Memphis, School of Public Health, Memphis, United Kingdom.
David B Allison *Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, United States.

Funding

Measurement error correction approaches to wearable device-based measures of physical activity and self-reported measures of dietary intake in obesity and type 2 diabetes researchR01DK132385 · NIDDK · TRUSTEES OF INDIANA UNIVERSITY · PI TEKWE, CARMEN D. · 2022 to 2025
$2.3M
Strengthening Causal Inference in Behavioral Obesity ResearchR25HL124208 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI ALLISON, DAVID B, BROWN, ANDREW W · 2014 to 2023
$1.8M
Novel Bayesian assessments of device-based physical activity and self-reported dietary intake in joint models of all-cause mortality and type 2 diabetes in a cohort of biracial older US adultsR01DK136994 · NIDDK · TRUSTEES OF INDIANA UNIVERSITY · PI Roger Sai Zoh · 2024 to 2026
$1.8M
The Mathematical Sciences in Obesity ResearchR25DK099080 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI DAVID B ALLISON, Andrew W Brown · 2013 to 2026
$1.2M
NHLBI NIH HHS R25 HL124208NIDDK NIH HHS R01 DK132385NIDDK NIH HHS R01 DK136994NIDDK NIH HHS R25 DK099080NIH HHS 1R01DK132385-01NIH HHS 1R01DK136994-01NIH HHS R25DK099080NIH HHS R25HL124208
6 · The paper itself

Abstract

We discuss 12 misperceptions, misstatements, or mistakes concerning the use of covariates in observational or

Indexed as

Observational Studies as TopicResearch DesignData Interpretation, StatisticalHumansModels, Statisticalassociationbiascausal effectconfoundingcovariate measurement errorepidemiologyglobal healthindependent variable

Identifiers

PMID38752987
PMCPMC11098558

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.