Evidence map›Paper›PMID 33011886›Full record

ArticleArchives of gynecology and obstetrics2021

Preoperative low hematocrit is an adverse prognostic biomarker in ovarian cancer.

Junchen Chen, Yi Li, Heng Cui

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In one paragraph

Article in Archives of gynecology and obstetrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

10 citing papers in PubMed, 16 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

3 authors at 1 institution in 1 country.

Junchen ChenCenter of Gynecologic Oncology, Peking University People's Hospital, Beijing, China.ORCID http://orcid.org/0000-0003-0288-6549
Yi LiCenter of Gynecologic Oncology, Peking University People's Hospital, Beijing, China. liyi@pkuph.edu.cn.ORCID http://orcid.org/0000-0003-4203-0227
Heng CuiCenter of Gynecologic Oncology, Peking University People's Hospital, Beijing, China. cuiheng@pkuph.edu.cn.ORCID http://orcid.org/0000-0002-9110-386X
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe study aimed to investigate the prognostic value of preoperative hematocrit (HCT) on the survival of epithelial ovarian cancer (EOC) patients.

methodsPatients who underwent primary debulking surgery (PDS) in our institution, from January 2010 to December 2015, were enrolled. The preoperative HCT, hemoglobin (Hb), tumor stage, ascites volume, age, albumin, BMI, ASA score, diabetes and other factors were collected and analyzed to find the risk factors for poor prognosis of EOC patients using Cox regression. Survival analysis was conducted with Kaplan-Meier method and log-rank test.

results192 patients met the inclusion criteria. HCT < 35% (P = 0.031, HR: 1.715, 95% CI 1.050-2.802) was an independent risk factor for poor overall survival in patients. The mean survival time was 83.7 months in patients with preoperative HCT ≥ 35% and 61.7 months in patients with HCT < 35% (P = 0.002). Patients with low HCT (< 35%) had a poor prognosis compared with patients with normal HCT, specifically in the patients of stage III/IV, age ≥ 65 years, BMI ≥ 25.0 kg/m

conclusionsPreoperative low HCT was a valuable predictor for EOC patients' poor prognosis, specifically in obese, nondiabetic, elder, advanced stage but having relatively good performance status patients.

Indexed as

AdultAgedBiomarkersCarcinoma, Ovarian EpithelialCytoreduction Surgical ProceduresFemaleHematocritHumansMiddle AgedOvarian NeoplasmsPrognosisRetrospective StudiesRisk FactorsSurvival AnalysisSurvival RateBiomarkersHematocritOvarian cancerPrognosisSurvival

Identifiers

PMID33011886
OpenAlexW3091268463

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.