Evidence map›Paper›PMID 32100449›Full record

ArticleObesity (Silver Spring, Md.)2020

High-Resolution Three-Dimensional Photonic Scan-Derived Equations Improve Body Surface Area Prediction in Diverse Populations.

Maxine Ashby-Thompson, Ying Ji, Jack Wang, Wen Yu, John C Thornton, Carla Wolper, Richard Weil, Earle C Chambers, Blandine Laferrère, F Xavier Pi-Sunyer and 1 more

Abstract read
In one paragraph

Article in Obesity (Silver Spring, Md.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

  1. Indexing for body surface area when assessing kidney function.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2026
    Review
  2. Article
  3. Article
  4. An improvement of body surface area formulas using the 3D scanning technique.International journal of occupational medicine and environmental health · 2024
    Article
  5. Article
  6. What to do with kidney length and volumes in large individuals?Pediatric nephrology (Berlin, Germany) · 2023
    Article
  7. Article
  8. Article
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.

Maxine Ashby-Thompson *New York Obesity Research Center, Department of Medicine, College of Physicians and Surgeons, Columbia University, New York, New York, USA.ORCID 0000-0001-9752-2208
Ying Ji *New York Obesity Research Center, Department of Medicine, College of Physicians and Surgeons, Columbia University, New York, New York, USA.
Jack WangNew York Obesity Research Center, Department of Medicine, College of Physicians and Surgeons, Columbia University, New York, New York, USA.
Wen YuNew York Obesity Research Center, Department of Medicine, College of Physicians and Surgeons, Columbia University, New York, New York, USA.
John C ThorntonThornton Consulting, Mahopac, New York, USA.
Carla WolperNew York Obesity Research Center, Department of Medicine, College of Physicians and Surgeons, Columbia University, New York, New York, USA.
Richard WeilDivision of Endocrinology, Diabetes, and Bone Disease, Mount Sinai Health System, Icahn School of Medicine, New York, New York, USA.
Earle C ChambersDepartment of Family and Social Medicine, Albert Einstein College of Medicine, Bronx, New York, USA.
Blandine LaferrèreNew York Obesity Research Center, Department of Medicine, College of Physicians and Surgeons, Columbia University, New York, New York, USA.ORCID 0000-0001-8255-3175
F Xavier Pi-SunyerNew York Obesity Research Center, Department of Medicine, College of Physicians and Surgeons, Columbia University, New York, New York, USA.ORCID 0000-0003-2207-2008
Dympna GallagherNew York Obesity Research Center, Department of Medicine, College of Physicians and Surgeons, Columbia University, New York, New York, USA.ORCID 0000-0003-1769-9754

Funding

RESEARCH TRAININGP30DK026687 · NIDDK · ST. LUKE'S-ROOSEVELT INST FOR HLTH SCIS · PI Anthony W Ferrante, DYMPNA GALLAGHER · 1986 to 2026
$33.0M
Predictors of Recidivism to Obesity in Weight-Reduced IndividualsUH3DK128302 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DYMPNA GALLAGHER, RUDOLPH L LEIBEL · 2022 to 2026
$7.0M
OBESITY RESEARCH CENTER TRAINING PROGRAMT32DK007559 · NIDDK · ST. LUKE'S-ROOSEVELT INST FOR HLTH SCIS · PI DYMPNA GALLAGHER · 1989 to 2026
$4.3M
NIDDK NIH HHS P30 DK026687NIDDK NIH HHS T32 DK007559NIDDK NIH HHS UH3 DK128302NIH HHS P30-DfK-026687-39S1NIH HHS P30-DK-26687
6 · The paper itself

Abstract

objectiveEquations for predicting body surface area (BSA) produce flawed estimates, especially for individuals with obesity. This study aimed to compare BSA measured by a three-dimensional photonic scanner (3DPS) with BSA predicted by six commonly cited prediction equations and to develop new prediction equations if warranted.

methodsThe 3DPS was validated against manual measurements by breadth caliper for body thicknesses measured at three anatomical sites on a mannequin. BSA was derived from 3DPS whole-body scans of 67 males and 201 females, aged 18 to 83 years, with BMI between 17.8 and 77.8 kg/m

resultsWidth and depth measurements by 3DPS and caliper were within 1%, except for hip, with an error of 1.8%. BSA

conclusionsNew height and weight BSA equations improve BSA estimation in individuals with BMI ≥ 40 and in African Americans, Hispanic Americans, and Asian Americans.

Indexed as

Body Surface AreaAdolescentAdultAgedAged, 80 and overFemaleHumansImaging, Three-DimensionalMaleMiddle AgedObesityWhole Body ImagingYoung Adult

Identifiers

PMID32100449
PMCPMC7375836

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.