Evidence map›Paper›PMID 34012702›Full record

ArticleJournal of pancreatology2019

A note on error bars as a graphical representation of the variability of data in biomedical research: Choosing between standard deviation and standard error of the mean.

Li Tang, Hui Zhang, Bo Zhang

Open access · diamondAbstract read
In one paragraph

Article in Journal of pancreatology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.0field-weighted citation impact, top 21% of its field
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

18 citing papers in PubMed, 34 citations in OpenAlex.

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  14. Practical notes on popular statistical tests in renal physiology.American journal of physiology. Renal physiology · 2022
    Review
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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

3 authors at 2 institutions in 1 country.

Li TangDepartment of Biostatistics, St. Jude Children's Research Hospital, Memphis, TN 38105, U.S.A.
Hui ZhangDepartment of Biostatistics, St. Jude Children's Research Hospital, Memphis, TN 38105, U.S.A.
Bo ZhangDepartment of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA 01605, U.S.A.
St. Jude Children's Research Hospital · USUniversity of Massachusetts Chan Medical School · US

Funding

University of Massachusetts Center for Clinical Science and Translational SupplementUL1TR001453 · NCATS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LUZURIAGA, KATHERINE F · 2015 to 2024
$39.0M
University of Massachusetts Center for Clinical and Translational ScienceKL2TR001455 · NCATS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI KIEFE, CATARINA I. · 2015 to 2024
$5.0M
AlcHepNet DCC UMMSU24AA026968 · NIAAA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI BARTON, BRUCE A · 2018 to 2023
$4.4M
University of Massachusetts Center for Clinical and Translational ScienceTL1TR001454 · NCATS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LEWIS, BRIAN C · 2015 to 2024
$3.6M
NCATS NIH HHS KL2 TR001455NCATS NIH HHS TL1 TR001454NCATS NIH HHS UL1 TR001453NIAAA NIH HHS U24 AA026968
6 · The paper itself

Abstract

Standard deviation and standard error of the mean have been applied widely as error bars in scientific plots. Unfortunately, there is no universally accepted principle addressing which of these two measures should be used. Here we seek to fill this gap by outlining the reasoning for choosing standard error of the mean over standard deviation and hope to shed light on this unsettled disagreement among the biomedical community. The utility of standard error of the mean and standard deviation as error bars is further discussed by examining the figures and plots published in two research articles on pancreatic disease.

Indexed as

confidence intervalerror barspancreatic diseasestandard deviationstandard error of the mean

Identifiers

PMID34012702
PMCPMC8130585
OpenAlexW2964313776

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.