Evidence map›Paper›PMID 40282986›Full record

ArticleMedicina (Kaunas, Lithuania)2025

Prediction of Clavien Dindo Classification ≥ Grade III Complications After Epithelial Ovarian Cancer Surgery Using Machine Learning Methods.

Aysun Alci, Fatih Ikiz, Necim Yalcin, Mustafa Gokkaya, Gulsum Ekin Sari, Isin Ureyen, Tayfun Toptas

Abstract read
In one paragraph

Article in Medicina (Kaunas, Lithuania), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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.

Aysun AlciDepartment of Gynecologic Oncology, Health Sciences University Antalya Training and Research Hospital, Antalya 07100, Turkey.ORCID 0000-0002-7912-7375
Fatih IkizDepartment of Emergency Medicine, Health Sciences University Beyhekim Training and Research Hospital, Konya 42060, Turkey.ORCID 0000-0003-3710-2193
Necim YalcinDepartment of Gynecologic Oncology, Health Sciences University Antalya Training and Research Hospital, Antalya 07100, Turkey.ORCID 0000-0001-5980-3244
Mustafa GokkayaDepartment of Gynecologic Oncology, Health Sciences University Antalya Training and Research Hospital, Antalya 07100, Turkey.ORCID 0000-0002-0477-157X
Gulsum Ekin SariDepartment of Gynecologic Oncology, Health Sciences University Antalya Training and Research Hospital, Antalya 07100, Turkey.ORCID 0000-0003-2618-7603
Isin UreyenDepartment of Gynecologic Oncology, Health Sciences University Antalya Training and Research Hospital, Antalya 07100, Turkey.ORCID 0000-0002-3491-4682
Tayfun ToptasDepartment of Gynecologic Oncology, Health Sciences University Antalya Training and Research Hospital, Antalya 07100, Turkey.ORCID 0000-0002-6706-6915

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Carcinoma, Ovarian EpithelialMachine LearningOvarian NeoplasmsPostoperative ComplicationsAdultAgedFemaleHumansMiddle AgedRetrospective StudiesROC Curveartificial intelligenceBayesian network modelClavien–Dindo classificationdiagnosismachine learning modelsovarian cancer surgery

Identifiers

PMID40282986
PMCPMC12028651

What OpenQuestion holds

Textmetadata
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.