Evidence map›Paper›PMID 34622417›Full record

ArticleJournal of nephrology2022

Low skeletal muscle mass by computerized tomography is associated with increased mortality risk in end-stage kidney disease patients on hemodialysis.

Alice Sabatino, Giuseppe Regolisti, Giuseppe Benigno, Francesca Di Mario, Carla Maria Avesani, Enrico Fiaccadori

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Article in Journal of nephrology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Intermuscular Adipose Tissue in CKD: A Window into Muscle Quality and Health?Clinical journal of the American Society of Nephrology : CJASN · 2025
    Review
  6. Article
  7. Article
  8. Observational
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
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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

6 authors.

Alice SabatinoUO Nefrologia, Azienda Ospedaliera- Universitaria di Parma, Via Gramsci 14, 43100, Parma, Italy. alice.sabatino86@gmail.com.ORCID http://orcid.org/0000-0003-2098-7597
Giuseppe RegolistiUO Nefrologia, Azienda Ospedaliera- Universitaria di Parma, Via Gramsci 14, 43100, Parma, Italy.
Giuseppe BenignoUO Nefrologia, Azienda Ospedaliera- Universitaria di Parma, Via Gramsci 14, 43100, Parma, Italy.
Francesca Di MarioUO Nefrologia, Azienda Ospedaliera- Universitaria di Parma, Via Gramsci 14, 43100, Parma, Italy.
Carla Maria AvesaniDivision of Renal Medicine and Baxter Novum, Department of Clinical Science, Technology and Intervention, Karolinska Institute, Stockholm, Sweden.
Enrico FiaccadoriUO Nefrologia, Azienda Ospedaliera- Universitaria di Parma, Via Gramsci 14, 43100, Parma, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsSkeletal muscle (SM) area, as measured by abdominal CT at the level of the third lumbar vertebra (L3), has been proposed as a proxy of whole body muscle mass. However, population-specific reference values are lacking. In the present study we aimed at: (1) detecting low SM area on abdominal CT images in patients on hemodialysis by applying cut-offs derived from a group of healthy subjects, and (2) estimating the independent risk of all-cause mortality associated with low SM area.

methodsWe retrospectively enrolled 212 adult patients on hemodialysis, undergoing abdominal CT scan (study group), and 87 healthy kidney donors (reference group). We obtained the gender-specific 5th percentile values of the abdominal SM area distribution from both the whole control group and the subgroup of younger (29-60 years) subjects, which we used as reference cut-offs. Then we applied those cut-offs in the study group to identify patients with low SM area. We used survival and Cox regression analysis to evaluate the risk of all-cause mortality associated with low abdominal SM area.

resultsIn the fully adjusted Cox regression analysis, the patients with low abdominal SM area had a higher risk of death than the patients with values above the reference cut-off derived in the subgroup of younger controls (adjHR = 1.79 (1.21; 2.67), P = 0.004).

conclusionsAbdominal CT imaging can be used to detect low abdominal SM area in patients on hemodialysis by applying cut-offs derived from healthy subjects sharing a similar ethnic background. Low SM area as assessed by CT is independently associated with all-cause mortality in ESKD patients on hemodialysis.

Indexed as

Kidney Failure, ChronicSarcopeniaAdultHumansMuscle, SkeletalRenal DialysisRetrospective StudiesTomography, X-Ray ComputedComputed tomographyEnd-stage kidney diseaseMortalityMuscle wastingSarcopenia

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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.