Evidence map›Paper›PMID 32901504›Full record

ArticleAnnals of human biology2020

A method for calculating BMI z-scores and percentiles above the 95

Rong Wei, Cynthia L Ogden, Van L Parsons, David S Freedman, Craig M Hales

Abstract read
In one paragraph

Article in Annals of human biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing 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

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

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  14. T cell dysregulation and remodeling in pediatric obesity and weight loss.bioRxiv : the preprint server for biology · 2026
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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

5 authors.

Rong WeiNational Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, MD, USA.
Cynthia L OgdenNational Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, MD, USA.
Van L ParsonsNational Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, MD, USA.
David S FreedmanDivision of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA.ORCID https://orcid.org/0000-0001-8014-0289
Craig M HalesNational Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, MD, USA.ORCID https://orcid.org/0000-0002-2355-1177

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

backgroundThe 2000 CDC growth charts are based on national data collected between 1963 and 1994 and include a set of selected percentiles between the 3

aimThis study attempts to overcome this limitation by constructing a new method for calculating BMI distributions above the 95 SUBJECTS AND

methodsData from youth at or above the 95

resultsThe modelled distributions above the 95

conclusionThis method can be used, in conjunction with the current CDC BMI-for-age growth charts, to track extreme values of BMI among youth.

Indexed as

Body Mass IndexGrowth ChartsAdolescentAnthropometryCenters for Disease Control and Prevention, U.S.ChildChild, PreschoolFemaleHumansMaleUnited Statesbody mass indexChildhood obesitygrowth percentilesHalf Normal distribution

Identifiers

PMID32901504
PMCPMC11232929

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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.