Evidence map›Paper›PMID 40375215›Full record

ArticleBMC cancer2025

Abdominal fat distribution in endometrial cancer: from diagnosis to follow-up.

Kristine E Fasmer, Jostein Sæterstøl, Maria B S Ljunggren, Astrid M K Brun, Johanna M A Pijnenborg, Kathrine Woie, Camilla Krakstad, Ingfrid S Haldorsen

Abstract read
In one paragraph

Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Potential of Lean Body MassMolecular imaging and radionuclide therapy · 2026
    Article
  2. Review
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.

Kristine E FasmerMohn Medical Imaging and Visualization Centre (MMIV), Department of Radiology, Haukeland University Hospital, Bergen, Norway. kristine.fasmer@helse-bergen.no.
Jostein SæterstølMohn Medical Imaging and Visualization Centre (MMIV), Department of Radiology, Haukeland University Hospital, Bergen, Norway.
Maria B S LjunggrenMohn Medical Imaging and Visualization Centre (MMIV), Department of Radiology, Haukeland University Hospital, Bergen, Norway.
Astrid M K BrunMohn Medical Imaging and Visualization Centre (MMIV), Department of Radiology, Haukeland University Hospital, Bergen, Norway.
Johanna M A PijnenborgDepartment of Obstetrics and Gynecology, Radboud university medical center, Nijmegen, The Netherlands.
Kathrine WoieDepartment of Obstetrics and Gynaecology, Haukeland University Hospital, Bergen, Norway.
Camilla KrakstadDepartment of Obstetrics and Gynaecology, Haukeland University Hospital, Bergen, Norway.
Ingfrid S HaldorsenMohn Medical Imaging and Visualization Centre (MMIV), Department of Radiology, Haukeland University Hospital, Bergen, Norway. ingfrid.haldorsen@helse-bergen.no.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe objective of this study is to quantify abdominal obesity markers from computed tomography (CT) scans at primary diagnosis and follow-up in a large endometrial cancer cohort, and to assess temporal change in obesity markers in relation to surgicopathological patient characteristics and outcome.

methodsTotal- (TAV), subcutaneous- (SAV), visceral (VAV) abdominal fat volumes, and visceral-to-total fat percentage (VAV%) were derived from CT scans acquired in an endometrial cancer patient cohort at primary diagnosis (n

resultsAt primary diagnosis, VAV% was the only marker significantly associated with high-risk histology (median of 33% for endometrioid endometrial carcinoma (EEC) grade 1-2, 36% for EEC grade 3 and 36% for non-endometrioid EC, p = 0.003), myometrial invasion (MI) (median of 34% for MI < 50% vs. 35% for MI ≥ 50%, p = 0.03) and lymphovascular space invasion (LVSI) (median of 34% for no LVSI vs. 36% for LVSI, p = 0.009). High VAV% (≥ 35%) also predicted poor PFS both in univariable analysis (HR = 1.8, p = 0.02), and when stratified for surgicopathological FIGO stage (HR = 3.1, p = 0.03). At follow-up, median TAV, VAV, SAV, and VAV% were significantly lower than at primary diagnosis (p < 0.001 for all). Furthermore, patients with progression had larger reductions in visceral fat compartments (δVAV=-24%, δVAV% =-3%), than patients with no progression (δVAV=-17%, δVAV%=-2%, p ≤ 0.006 for both).

conclusionVisceral abdominal obesity (high VAV%) is associated with high-risk histologic features, myometrial invasion, and poor prognosis. Furthermore, high visceral fat loss during/following therapy is associated with disease progression.

Indexed as

Abdominal FatEndometrial NeoplasmsObesity, AbdominalAdultAgedFemaleFollow-Up StudiesHumansMiddle AgedTomography, X-Ray ComputedAdiposityComputed tomographyEndometrial neoplasmsIntra-abdominal fatObesity

Identifiers

PMID40375215
PMCPMC12079972

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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.