Evidence map›Paper›PMID 35821892›Full record

ArticleHealth science reports2022

Predictors of early mortality risk in patients with epithelial ovarian cancer.

Kehinde S Okunade, Sarah John-Olabode, Ephraim O Ohazurike, Adaiah Soibi-Harry, Benedetto Osunwusi, Rose I Anorlu

Abstract read
In one paragraph

Article in Health science reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Regulation of Age-Related Lipid Metabolism in Ovarian Cancer.International journal of molecular sciences · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. 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

6 authors.

Kehinde S OkunadeOncology and Pathological Studies (OPS) Unit, Department of Obstetrics and Gynaecology University of Lagos College of Medicine Lagos Nigeria.ORCID 0000-0002-0957-7389
Sarah John-OlabodeDepartment of Haematology and Blood Transfusion University of Lagos College of Medicine Lagos Nigeria.
Ephraim O OhazurikeDepartment of Obstetrics and Gynaecology Lagos University Teaching Hospital Lagos Nigeria.
Adaiah Soibi-HarryDepartment of Obstetrics and Gynaecology Lagos University Teaching Hospital Lagos Nigeria.ORCID 0000-0001-5938-3235
Benedetto OsunwusiDepartment of Obstetrics and Gynaecology Lagos University Teaching Hospital Lagos Nigeria.
Rose I AnorluOncology and Pathological Studies (OPS) Unit, Department of Obstetrics and Gynaecology University of Lagos College of Medicine Lagos Nigeria.

Funding

Partnership for Global Health Research Training Program (Renewal)-Supplement for OBSSR, NCI, NCI-AIDS and NIDCDD43TW010543 · FIC · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Wafaie W Fawzi, DAVIDSON HOWES HAMER · 2017 to 2026
$12.1M
Building Research And Innovation in Nigeria's Science - (BRAINS)D43TW010134 · FIC · COLLEGE OF MEDICINE, UNIVERSITY OF LAGOS · PI OGUNSOLA, FOLASADE TOLULOPE · 2015 to 2020
$3.2M
Nigeria HIV Research Training ProgramD43TW010934 · FIC · EMORY UNIVERSITY · PI Ighovwerha Ofotokun · 2019 to 2026
$2.4M
FIC NIH HHS D43 TW010134FIC NIH HHS D43 TW010543FIC NIH HHS D43 TW010934
6 · The paper itself

Abstract

Background: To improve the overall survival of epithelial ovarian cancer (EOC) patients, a more precise risk identification after completion of standard treatment will enhance patients' follow-up surveillance and the use of individualized targeted therapy. Aim: This study explored the potential risk predictors of early mortality in EOC patients who had standard treatment with debulking surgery and chemotherapy. Methods: The study included 93 EOC patients who had standard treatment and were followed up between January 2011 and December 2020. The sociodemographic, clinical, and laboratory data of patients with EOC including the update on their 3-year follow-up status were retrospectively collected and analyzed. Early mortality is defined as the death of a patient within 3 years of completion of standard treatment. Patients' data were computed using descriptive statistics and the associations between patients' factors and the risk of early mortality were tested using the binary logistic regression model. Results: Early deaths occurred in 36 (38.7%) of patients with EOC. In the final multivariate analyses, early tumor relapse within 6-months of treatment completion was the only independent risk factor that predicts early mortality in EOC patients (risk ratio = 8.6, 95% confidence interval: 3.3-24.5, Conclusion: Our study suggests that early tumor relapse may be a useful surrogate of early mortality in EOC. However, our findings should be interpreted with caution pending further corroboration through an adequately powered, prospective multicenter study.

Indexed as

early deathepithelial ovarian cancermortalityoverall survivaltumor relapse

Identifiers

PMID35821892
PMCPMC9260216

What OpenQuestion holds

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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.