Evidence map›Paper›PMID 29662648›Full record

ArticleOncotarget2018

Visceral abdominal fat measured by computer tomography as a prognostic factor for gynecological malignancies?

Johanna Nattenmüller, Joachim Rom, Tom Buckner, Jalal Arvin, Benedikt Bau, Christof Sohn, Hans-Ulrich Kauczor, Sarah Schott

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 pooled it
0.8field-weighted citation impact, top 23% 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

12 citing papers in PubMed, 3 syntheses or guidelines pooled it, 26 citations in OpenAlex.

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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

8 authors at 4 institutions in 2 countries.

Johanna NattenmüllerDepartment of Diagnostic and Interventional Radiology, University Hospital, Heidelberg, Germany.
Joachim RomDepartment of Obstetrics and Gynecology, University Hospital, Heidelberg, Germany.
Tom BucknerDepartment of Medical Biometry and Informatics, University Heidelberg, Heidelberg, Germany.
Jalal ArvinDepartment of Obstetrics and Gynecology, University Hospital, Heidelberg, Germany.
Benedikt BauDepartment of Obstetrics and Gynecology, University Hospital, Heidelberg, Germany.
Christof SohnDepartment of Obstetrics and Gynecology, University Hospital, Heidelberg, Germany.
Hans-Ulrich KauczorDepartment of Diagnostic and Interventional Radiology, University Hospital, Heidelberg, Germany.
Sarah SchottDepartment of Obstetrics and Gynecology, University Hospital, Heidelberg, Germany.
University Hospital Heidelberg · DEHeidelberg University · DENational Center for Tumor Diseases · DEZimmer Biomet (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionObesity is associated with increased incidence of ovarian (OC), cervical (CC) and endometrium cancer (EC). However, the impact of body composition (BC) on overall survival (OS), especially of visceral adipose tissue (VAT) is not yet understood.

methodsIn 189 women with gynecological malignancies (31 OC, 104 CC, 54 EC, mean age 62.9y; mean BMI 26.8 kg/m

resultsWith a mean follow-up of 30.7 months 48 patients had died. We observed no significant differences regarding BMI, the adipose- and muscle-distribution between surviving and deceased women. Univariate analyses revealed no significant BC-parameter with impact on OS, which was confirmed by different multivariate models. A subgroup analysis of OC, CC and EC showed only a protective impact of SMI on survival in the subgroup of CC.

conclusionsDespite the increased incidence of gynecological malignancies in obese, we found no significant impact of BC including VAT on patient survival. Further studies with larger cohorts are needed to quantify BC and its metabolomic impact regarding treatment and prognosis.

Indexed as

BMIbody compositioncomputed tomographygynecological malignanciesobesity

Identifiers

PMID29662648
PMCPMC5893243
OpenAlexW2795230738

What OpenQuestion holds

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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 OpenQuestion graph.