Evidence map›Paper›PMID 29242526›Full record

ArticleEuropean journal of clinical nutrition2018

Percentiles for skeletal muscle index, area and radiation attenuation based on computed tomography imaging in a healthy Caucasian population.

A van der Werf, J A E Langius, M A E de van der Schueren, S A Nurmohamed, K A M I van der Pant, S Blauwhoff-Buskermolen, N J Wierdsma

Open access · hybridAbstract readMulticenter Study
In one paragraph

Article in European journal of clinical nutrition, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 165 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
165citing papers in PubMed, 7 pooled it
8.2field-weighted citation impact, top 2% 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

165 citing papers in PubMed, 7 syntheses or guidelines pooled it, 285 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Trial
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Assessment of sarcopenia in female patients with sarcoidosis upon initial diagnosis.Sarcoidosis, vasculitis, and diffuse lung diseases : official journal of WASOG · 2026
    Article
  18. Article
  19. Review
  20. Review

105 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

7 authors at 3 institutions in 1 country.

A van der WerfDepartment of Nutrition and Dietetics, Internal Medicine, VU University Medical Center, Amsterdam, The Netherlands. an.vanderwerf@vumc.nl.
J A E LangiusDepartment of Nutrition and Dietetics, Internal Medicine, VU University Medical Center, Amsterdam, The Netherlands.
M A E de van der SchuerenDepartment of Nutrition and Dietetics, Internal Medicine, VU University Medical Center, Amsterdam, The Netherlands.
S A NurmohamedDepartment of Nephrology, VU University Medical Center, Amsterdam, The Netherlands.
K A M I van der PantDepartment of Internal Medicine, Renal Transplant and Nephrology Unit, Academic Medical Center, Amsterdam, The Netherlands.
S Blauwhoff-BuskermolenDepartment of Nutrition and Dietetics, Internal Medicine, VU University Medical Center, Amsterdam, The Netherlands.
N J WierdsmaDepartment of Nutrition and Dietetics, Internal Medicine, VU University Medical Center, Amsterdam, The Netherlands.
Amsterdam UMC Location VUmc · NLAcademic Medical Center · NLHAN University of Applied Sciences · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesMuscle mass is a key determinant of nutritional status and associated with outcomes in several patient groups. Computed tomography (CT) analysis is increasingly used to assess skeletal muscle area (SMA), skeletal muscle index (SMI) and muscle radiation attenuation (MRA). However, interpretation of these muscle parameters is difficult since values in a healthy population are lacking. The aim of this study was to provide sex specific percentiles for SMA, SMA and MRA in a healthy Caucasian population and to examine the association with age and BMI in order to define age- and BMI specific percentiles. SUBJECTS/

methodsIn this retrospective cross-sectional study CT scans of potential kidney donors were used to assess SMA, SMI and MRA at the level of the third lumbar vertebra. Sex specific distributions were described and, based on the association between age/BMI and muscle parameters, age, and BMI specific predicted percentiles were computed. The 5th percentile was considered as cut-off.

resultsCT scans of 420 Individuals were included (age range 20-82 years and BMI range 17.5-40.7 kg/m

conclusionsThis study provides sex specific percentiles for SMA, SMI, and MRA. In addition, age- and BMI specific percentiles have been established.

Indexed as

Tomography, X-Ray ComputedAdultAgedAged, 80 and overAgingBody Mass IndexCross-Sectional StudiesFemaleHumansMaleMiddle AgedMuscle, SkeletalNetherlandsNutritional StatusReference ValuesRetrospective Studies

Identifiers

PMID29242526
PMCPMC5842880
OpenAlexW2775794080

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.