Evidence map›Paper›PMID 31565085›Full record

ArticleArchaeological and anthropological sciences2019

Estimating body mass and composition from proximal femur dimensions using dual energy x-ray absorptiometry.

Emma Pomeroy, Veena Mushrif-Tripathy, Bharati Kulkarni, Sanjay Kinra, Jay T Stock, Tim J Cole, Meghan K Shirley, Jonathan C K Wells

Abstract read
In one paragraph

Article in Archaeological and anthropological sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Extract ofFood & nutrition research · 2021
    Article
  7. 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

8 authors.

Emma Pomeroy1School of Natural Sciences and Psychology, Liverpool John Moores University, Byrom Street, Liverpool, L3 3AF UK.ORCID 0000-0001-6251-2165
Veena Mushrif-Tripathy2Deccan College Postgraduate and Research Institute, Pune, India.
Bharati Kulkarni3National Institute of Nutrition, Hyderabad, India.
Sanjay Kinra4Department of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.
Jay T Stock5ADaPt Project, PAVE Research Group, Department of Archaeology and Anthropology, University of Cambridge, Cambridge, UK.
Tim J Cole6UCL Great Ormond Street Institute of Child Health, UCL, London, UK.
Meghan K Shirley6UCL Great Ormond Street Institute of Child Health, UCL, London, UK.
Jonathan C K Wells6UCL Great Ormond Street Institute of Child Health, UCL, London, UK.

Funding

Medical Research Council MR/M012069/1Medical Research Council MR/R010692/1Wellcome Trust
6 · The paper itself

Abstract

Body mass prediction from the skeleton most commonly employs femoral head diameter (FHD). However, theoretical predictions and empirical data suggest the relationship between mass and FHD is strongest in young adults, that bone dimensions reflect lean mass better than body or fat mass and that other femoral measurements may be superior. Here, we generate prediction equations for body mass and its components using femoral head, neck and proximal shaft diameters and body composition data derived from dual-energy x-ray absorptiometry (DXA) scans of young adults (

Indexed as

ArchaeologyDXAFat mass estimationForensicsIndiaLean mass estimation

Identifiers

PMID31565085
PMCPMC6743672

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.