Evidence map›Paper›PMID 32292115›Full record

ArticleStatistical methods in medical research2020

Estimating the sample mean and standard deviation from commonly reported quantiles in meta-analysis.

Sean McGrath, XiaoFei Zhao, Russell Steele, Brett D Thombs, Andrea Benedetti, DEPRESsion Screening Data (DEPRESSD) Collaboration

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Statistical methods in medical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 445 papers, 129 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
445citing papers in PubMed, 129 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

445 citing papers in PubMed, 129 syntheses or guidelines pooled it.

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385 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

6 authors.

Sean McGrathRespiratory Epidemiology and Clinical Research Unit (RECRU), McGill University Health Centre, Montreal, Quebec, Canada.
XiaoFei ZhaoRespiratory Epidemiology and Clinical Research Unit (RECRU), McGill University Health Centre, Montreal, Quebec, Canada.
Russell SteeleDepartment of Mathematics and Statistics, McGill University, Montreal, Quebec, Canada.
Brett D ThombsLady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada.
Andrea BenedettiRespiratory Epidemiology and Clinical Research Unit (RECRU), McGill University Health Centre, Montreal, Quebec, Canada.ORCID 0000-0002-8314-9497
DEPRESsion Screening Data (DEPRESSD) Collaboration

Funding

Obesity and Energy Metabolism CoreP30DK050456 · NIDDK · UNIVERSITY OF MINNESOTA TWIN CITIES · PI JEFFERY, ROBERT W · 1995 to 2015
$17.0M
University of Rochester Mentoring Environment: Nurturing Training Opportunities in Research (UR-MENTOR)T32GM007356 · NIGMS · UNIVERSITY OF ROCHESTER · PI O'BANION, M. KERRY · 1985 to 2023
$15.1M
CDC Injury Control Research Center for Preventing Suicide (CDC ICRC S)R49CE002093 · CE · UNIVERSITY OF ROCHESTER · PI CAINE, ERIC D. · 2012 to 2018
$5.6M
Epidemiology of Depression and Heart Failure in AgingR01HL079235 · NHLBI · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WHOOLEY, MARY A · 2005 to 2009
$4.2M
The University of Rochester's Clinical and Translational Science InstituteTL1RR024135 · NCRR · UNIVERSITY OF ROCHESTER · PI PEARSON, THOMAS ARTHUR · 2006 to 2011
$3.7M
University of Washington MHIRT Training Program GrantT37MD001449 · NIMHD · UNIVERSITY OF WASHINGTON · PI WILLIAMS, MICHELLE A. · 2005 to 2018
$3.5M
CONTROLLED TRIAL OF SERTRALINE FOR DEPRESSION AFTER TBIR01HD039415 · NICHD · UNIVERSITY OF WASHINGTON · PI BOMBARDIER, CHARLES HENRY · 2000 to 2004
$2.6M
IP-RISP: The Senior Health and Research AllianceR24MH071604 · NIMH · UNIVERSITY OF ROCHESTER · PI CONWELL, YEATES · 2006 to 2010
$2.5M
Methods of Optimal Depression Detection in Parkinson'sR01MH069666 · NIMH · JOHNS HOPKINS UNIVERSITY · PI MARSH, LAURA · 2004 to 2009
$2.3M
Terrorism and Traumatic Responding: Exposure and Resiliency FactorsR01MH073687 · NIMH · RUSH UNIVERSITY MEDICAL CENTER · PI HOBFOLL, STEVAN · 2006 to 2009
$2.2M
THE TREATMENT OF EATING DISORDERSK02MH065919 · NIMH · UNIVERSITY OF MINNESOTA TWIN CITIES · PI CROW, SCOTT J · 2003 to 2007
$689k
Adaptation of a Depression Treatment Intervention for HIV Patients in CameroonR34MH084673 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GAYNES, BRADLEY N · 2009 to 2011
$627k
AHRQ HHS R36 HS018246NCIPC CDC HHS R49 CE002093NCRR NIH HHS TL1 RR024135NHLBI NIH HHS R01 HL079235NICHD NIH HHS R01 HD039415NIDDK NIH HHS P30 DK050456NIGMS NIH HHS T32 GM007356NIMHD NIH HHS T37 MD001449NIMH NIH HHS F30 MH096664NIMH NIH HHS K02 MH065919NIMH NIH HHS R01 MH069666NIMH NIH HHS R01 MH073687NIMH NIH HHS R24 MH071604NIMH NIH HHS R34 MH072925NIMH NIH HHS R34 MH084673
6 · The paper itself

Abstract

Researchers increasingly use meta-analysis to synthesize the results of several studies in order to estimate a common effect. When the outcome variable is continuous, standard meta-analytic approaches assume that the primary studies report the sample mean and standard deviation of the outcome. However, when the outcome is skewed, authors sometimes summarize the data by reporting the sample median and one or both of (i) the minimum and maximum values and (ii) the first and third quartiles, but do not report the mean or standard deviation. To include these studies in meta-analysis, several methods have been developed to estimate the sample mean and standard deviation from the reported summary data. A major limitation of these widely used methods is that they assume that the outcome distribution is normal, which is unlikely to be tenable for studies reporting medians. We propose two novel approaches to estimate the sample mean and standard deviation when data are suspected to be non-normal. Our simulation results and empirical assessments show that the proposed methods often perform better than the existing methods when applied to non-normal data.

Indexed as

first quartilemaximum valuemedianMeta-analysisminimum valuethird quartile

Identifiers

PMID32292115
PMCPMC7390706

What OpenQuestion holds

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Registered trials

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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.