Evidence map›Paper›PMID 36358607›Full record

ArticleCancers2022

Impact of Change in Body Composition during Follow-Up on the Survival of GEP-NET.

Fernando Sebastian-Valles, Nuria Sánchez de la Blanca Carrero, Víctor Rodríguez-Laval, Rebeca Martinez-Hernández, Ana Serrano-Somavilla, Carolina Knott-Torcal, José Luis Muñoz de Nova, Elena Martín-Pérez, Mónica Marazuela, Miguel Antonio Sampedro-Nuñez

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Evaluation of temporal muscle thickness in subjects with acromegaly: a follow-up study.Therapeutic advances in endocrinology and metabolism · 2026
    Article
  2. 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

10 authors at 1 institution in 1 country.

Fernando Sebastian-VallesDepartment of Endocrinology and Nutrition, Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria de La Princesa, 28006 Madrid, Spain.ORCID 0000-0002-4127-0483
Nuria Sánchez de la Blanca CarreroInstituto de Investigación Sanitaria del Hospital Universitario de La Princesa, 28006 Madrid, Spain.
Víctor Rodríguez-LavalDepartment of Radiology, Hospital Universitario de La Princesa, 28006 Madrid, Spain.ORCID 0000-0002-4581-0993
Rebeca Martinez-HernándezInstituto de Investigación Sanitaria del Hospital Universitario de La Princesa, 28006 Madrid, Spain.
Ana Serrano-SomavillaInstituto de Investigación Sanitaria del Hospital Universitario de La Princesa, 28006 Madrid, Spain.
Carolina Knott-TorcalDepartment of Endocrinology and Nutrition, Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria de La Princesa, 28006 Madrid, Spain.
José Luis Muñoz de NovaDepartment of General and Digestive Surgery, Hospital Universitario de La Princesa, 28006 Madrid, Spain.ORCID 0000-0003-1439-5632
Elena Martín-PérezDepartment of General and Digestive Surgery, Hospital Universitario de La Princesa, 28006 Madrid, Spain.
Mónica MarazuelaDepartment of Endocrinology and Nutrition, Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria de La Princesa, 28006 Madrid, Spain.ORCID 0000-0003-1158-9618
Miguel Antonio Sampedro-NuñezDepartment of Endocrinology and Nutrition, Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria de La Princesa, 28006 Madrid, Spain.
Hospital Universitario de La Princesa · ES

Funding

Miguel Antonio Sampedro Núñez and Nuria Sánchez de la Blanca Carrero PEJ-2020-AI_BMD-18292
6 · The paper itself

Abstract

Background: Gastroenteropancreatic neuroendocrine tumors (GEP-NETs) are heterogeneous rare diseases causing malnutrition and cachexia in which the study of body composition may have an impact in prognosis. Aim: Evaluation of muscle and fat tissues by computed tomography (CT) at the level of the third lumbar (L3 level) at diagnosis and at the end of follow-up in GET-NET patients and their relationships with clinical and biochemical variables as predictors of survival. Methodology: Ninety-eight GEP-NET patients were included. Clinical and biochemical parameters were evaluated. Total body, subcutaneous, visceral and total fat areas and very low-density, low-density, normal density, high-density, very high-density and total muscle areas were obtained from CT images. Results: Body composition measures and overall mortality correlated with age, ECOG (Eastern Cooperative Oncology Group performance status) metastases, lactate dehydrogenase (LDH), albumin and urea levels. Although there was no relationship between body composition variables at diagnosis and overall and specific mortality, an increase in low-density muscle and a decrease in normal-density muscle during follow-up were independently correlated to overall (p <0.05) and tumor-cause mortality (p < 0.05). Conclusion: Although body composition measures obtained by CT at diagnosis did not impact survival of GEP-NET patients, a loss of good quality muscle during follow-up was associated with an increased overall and tumor-related mortality. Nutritional status should therefore be supervised by nutrition specialists and an increase in good quality muscle could improve prognosis.

Indexed as

biomarkerbody compositionneuroendocrine tumorprognosis

Identifiers

PMID36358607
PMCPMC9654293
OpenAlexW4307328097

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.