Evidence map›Paper›PMID 42487844›Full record

ArticlePakistan journal of medical sciences2026

Development and validation of a nomogram prediction model for postoperative complications in elderly patients with endometrial cancer.

Yanhong Geng, Qiuju Wang, Jing Xu, Shuqi Guo, Shanshan Liang

Abstract read
In one paragraph

Article in Pakistan journal of medical sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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No citing paper in PubMed yet.

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

5 authors.

Yanhong GengYanhong Geng, Department of Obstetrics and Gynecology, Baoding No.1 Central Hospital, Baoding 071000, Hebei, China.
Qiuju WangQiuju Wang, Department of Obstetrics and Gynecology, Baoding No.1 Central Hospital, Baoding 071000, Hebei, China.
Jing XuJing Xu, Department of Obstetrics and Gynecology, Baoding No.1 Central Hospital, Baoding 071000, Hebei, China.
Shuqi GuoShuqi Guo, Department of Obstetrics and Gynecology, Baoding No.1 Central Hospital, Baoding 071000, Hebei, China.
Shanshan LiangShanshan Liang, Department of Obstetrics and Gynecology, Baoding No.1 Central Hospital, Baoding 071000, Hebei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To identify the risk factors associated with postoperative complications in elderly patients with endometrial cancer and to develop a nomogram model for individualized risk assessment. Methodology: This retrospective study included 150 elderly patients who underwent surgical treatment for endometrial cancer at Baoding No.1 Central Hospital between January 2022 to October 2025. Patients were divided into a complication group(n=46) and a non-complication group(n=104) based on the occurrence of postoperative complications. Multivariate logistic regression analysis was conducted to identify risk factors. A nomogram model was constructed and validated accordingly. Results: Postoperative complications occurred in 30.67%(46/150) of patients, while 69.33%(104/150) experienced no complications. Statistically significant differences were observed between the complication and non-complication groups in age( Conclusion: Age, BMI, diabetes, DoO, and DPA are significant risk factors for postoperative complications in elderly patients with endometrial cancer. The constructed nomogram provides a reliable and practical tool for the early identification of high-risk patients and may facilitate the development of targeted preventive strategies in clinical practice.

Indexed as

ComplicationElderlyEndometrial cancerPredictive modelSurgery

Identifiers

PMID42487844
PMCPMC13389889

What Socratic holds

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LicenceCC BY
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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 Socratic graph.