Evidence map›Paper›PMID 36428725›Full record

ArticleCancers2022

Nomograms Based on Fibrinogen, Albumin, Neutrophil-Lymphocyte Ratio, and Carbohydrate Antigen 125 for Predicting Endometrial Cancer Prognosis.

Qing Li, Fanfei Kong, Jian Ma, Yuting Wang, Cuicui Wang, Hui Yang, Yan Li, Xiaoxin Ma

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.5field-weighted citation impact, top 16% 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, 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

8 authors at 1 institution in 1 country.

Qing LiDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang 110022, China.
Fanfei KongDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang 110022, China.
Jian MaDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang 110022, China.
Yuting WangDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang 110022, China.
Cuicui WangDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang 110022, China.
Hui YangDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang 110022, China.
Yan LiDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang 110022, China.
Xiaoxin MaDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang 110022, China.
China Medical University · CN

Funding

Liaoning Revitalization Talents Program XLYC1902003National Natural Science Foundation of China 81872123
6 · The paper itself

Abstract

Background: This study aimed to determine the prognostic value of the preoperative levels of fibrinogen, albumin (ALB), neutrophil−lymphocyte ratio (NLR), and carbohydrate antigen 125 (CA125) in endometrial cancer and to establish nomograms for predicting patient survival. Methods: Patients with endometrial cancer (n = 1483) who underwent surgery were included in this study, and their preoperative fibrinogen, ALB, NLR, and CA125 levels and clinicopathological characteristics were collected. Patients were randomized into a training cohort (70%, n = 1038) and an external validation cohort (30%, n = 445). The Cox regression analysis was performed using the data for the patients in the training cohort to identify independent prognostic factors; nomograms for predicting prognosis were established and validated. Results: High fibrinogen (≥3.185 g/L), NLR (≥2.521 g/L), and CA125 (≥35 U/mL) levels and low ALB (<4.185 g/L) levels were independently associated with poor progression-free survival (PFS) and poor overall survival (OS) in patients with endometrial cancer. Prognostic prediction model nomograms were developed and validated based on these results. Calibration curves and C-indexes underscored the good predictive power of the nomograms, and both the net reclassification index (NRI) and integrated discrimination improvement (IDI) values of the prognostic prediction model nomograms were improved. Conclusions: Nomograms that are developed based on preoperative fibrinogen, ALB, NLR, and CA125 levels accurately predict PFS and OS in patients with endometrial cancer.

Indexed as

albumincarbohydrate antigen 125endometrial cancerfibrinogenneutrophil–lymphocyte rationomogram

Identifiers

PMID36428725
PMCPMC9688634
OpenAlexW4309742766

What OpenQuestion holds

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LicenceCC BY
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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.