Evidence map›Paper›PMID 31229583›Full record

ArticleJournal of clinical epidemiology2019

Who is in this study, anyway? Guidelines for a useful Table 1.

Eleanor Hayes-Larson, Katrina L Kezios, Stephen J Mooney, Gina Lovasi

Abstract read
In one paragraph

Article in Journal of clinical epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

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

  1. Pooled it
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  8. Review
  9. Straining Under Contradiction? Contradictory Class Locations and Job Strain in the United States.International journal of social determinants of health and health services · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Eleanor Hayes-LarsonDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA. Electronic address: elh2167@columbia.edu.
Katrina L KeziosDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA.
Stephen J MooneyHarborview Injury Prevention & Research Center, University of Washington, Seattle, WA, USA; Department of Epidemiology, University of Washington, Seattle, WA, USA.
Gina LovasiDepartment of Epidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Philadelphia, PA, USA.

Funding

RESEARCH TRAINING PROGRAM IN PSYCHIATRIC EPIDEMIOLOGYT32MH013043 · NIMH · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI Katherine M. Keyes · 1985 to 2026
$11.7M
Global HIV Implementation Science Research Training Grant RenewalT32AI114398 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Yael R Hirsch-Moverman · 2014 to 2026
$4.1M
Pediatric Injury Research Training ProgramT32HD057822 · NICHD · UNIVERSITY OF WASHINGTON · PI CAROLYN A MC CARTY, Ali Rowhani-Rahbar · 2010 to 2026
$4.0M
Communities Designed to Support Cardiovascular Health for Older AdultsR01AG049970 · NIA · DREXEL UNIVERSITY · PI LOVASI, GINA S · 2015 to 2018
$2.8M
Training Program in Environmental Life Course EpidemiologyT32ES023772 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI FACTOR-LITVAK, PAM R, PERERA, FREDERICA P · 2015 to 2019
$1.3M
The Automatic Context Measurement Tool: bringing environmental data to non-specialistsK99LM012868 · NLM · UNIVERSITY OF WASHINGTON · PI MOONEY, STEPHEN JOHN · 2018 to 2018
$127k
NIAID NIH HHS T32 AI114398NIA NIH HHS R01 AG049970NICHD NIH HHS T32 HD057822NIEHS NIH HHS T32 ES023772NIMH NIH HHS T32 MH013043NLM NIH HHS K99 LM012868
6 · The paper itself

Abstract

objectiveEpidemiologic and clinical research papers often describe the study sample in the first table. If well-executed, this "Table 1" can illuminate potential threats to internal and external validity. However, little guidance exists on best practices for designing a Table 1, especially for complex study designs and analyses. We aimed to summarize and extend the literature related to reporting descriptive statistics. STUDY DESIGN AND

settingIn consultation with existing guidelines, we synthesized and developed reporting recommendations driven by study design and focused on transparency related to potential threats to internal and external validity.

resultsWe describe a basic structure for Table 1 and discuss simple modifications in terms of columns, rows, and cells to enhance a reader's ability to judge both internal and external validity. We further highlight several analytic complexities common in epidemiologic research (missing data, sample weights, clustered data, and interaction) and describe possible variations to Table 1 to maintain and add clarity about study validity in light of these issues. We discuss considerations and tradeoffs in Table 1 related to breadth and comprehensiveness vs. parsimony and reader-friendliness.

conclusionWe anticipate that our work will guide authors considering layouts for Table 1, with attention to the reader's perspective.

Indexed as

Data AnalysisGuidelines as TopicDocumentationEpidemiologic Research DesignPublishingReproducibility of ResultsResearch DesignClinical researchDescriptive statisticsEpidemiologic methodsExternal validityGeneralizabilityInternal validityTables

Identifiers

PMID31229583
PMCPMC6773463

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.