Evidence map›Paper›PMID 34897571›Full record

ArticleInternational urology and nephrology2022

The role of CT-scan assessment of muscle mass in predicting postoperative surgical complications after renal transplantation.

Thomas Tabourin, Ugo Pinar, Lucie Cassagnes, Yves Boirie, Anne-Elisabeth Heng, Marlène Guandalino, Laurent Guy

Abstract read
PubMed Publisher
In one paragraph

Article in International urology and nephrology, 2022. 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
0.4field-weighted citation impact, top 40% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

7 authors at 2 institutions in 1 country.

Thomas TabourinDepartment of Urology, Clermont-Ferrand University Hospital, Clermont-Ferrand, France. tm.tabourin@gmail.com.
Ugo PinarGRC 5, Predictive Onco-Urology, APHP, Pitié-Salpêtrière Hôpital, Urology, Sorbonne University, 75013, Paris, France.ORCID http://orcid.org/0000-0001-6135-1005
Lucie CassagnesDepartment of Radiology, Clermont-Ferrand University Hospital, Clermont-Ferrand, France.
Yves BoirieResearch Department, Clermont-Ferrand University Hospital, Clermont-Ferrand, France.
Anne-Elisabeth HengDepartment of Nephrology, Clermont-Ferrand University Hospital, Clermont-Ferrand, France.
Marlène GuandalinoUrology Department, Clinique Bons Secours, Le Puy-en-Velay, France.
Laurent GuyDepartment of Urology, Clermont-Ferrand University Hospital, Clermont-Ferrand, France.
Sorbonne Université · FRCentre Hospitalier Universitaire de Clermont-Ferrand · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDespite a high rate of undernutrition in renal transplantation recipients, prognostic value of sarcopenia remains unclear. We evaluated the relation between sarcopenia and post-operative outcomes after renal transplantation.

methodsDuring 7 years, each patient who underwent renal transplantation was retrospectively included. Patients with no recent pre-operative CT-scan were excluded. Sarcopenia was evaluated by measuring the muscle surface area on CT-scan section passing through the third lumbar vertebra. Main outcomes were post-operative complications at 1 month and 1 year according to the Clavien-Dindo classification.

resultsOverall, 102 patients were included. One month of complication rate was 63.9%. At 1 year, 60.8% experienced at least one medical complication and 29.4% one surgical complication. At 1 year post transplantation, low muscle density on CT scan was a surgical complication risk factor (OR = 0.6, 95% CI = [0.3-0.9], p = 0.05). The area under the curve of a 1-year complication predictive model including muscle density was 0.64. We did not observe significant relationship between CT-scan sarcopenia indicator and 1-month post-transplantation complication.

conclusionAlthough no clear link between sarcopenia and complications was exhibited in our study, low CT-scan muscle density was associated with 1-year surgical complications. The role of muscle density and its relation with sarcopenia and post-transplantation outcomes should be further explored.

Indexed as

Kidney TransplantationTomography, X-Ray ComputedAdultAged, 80 and overFemaleHumansMaleMiddle AgedMuscle, SkeletalOrgan SizePostoperative ComplicationsPredictive Value of TestsRetrospective StudiesSarcopeniaComplicationsEnd-stage kidney failure(MeSH): renal transplantationSarcopenia

Identifiers

PMID34897571
OpenAlexW4200230873

What OpenQuestion holds

Textmetadata
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.