Evidence map›Paper›PMID 42192942›Full record

ArticleCancers2026

The Prediction of Extended Hospital Length of Stay in Patients After Endoscopic Endonasal Transsphenoidal Surgery for the Resection of Non-Functioning Pituitary Adenomas: A Dual-Center Retrospective Analysis.

Bibo Gao, Junjian Dai, Xiao Yu, Shilong Cao, Congcong Wu, Changsen Zhu, Bingchan Li, Anquan Shang, Ning Wang, Jianguo Meng

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PubMed Full text at PMC Publisher
In one paragraph

Article in Cancers, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

Who cites it

1 citing paper in PubMed.

  1. 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

10 authors.

Bibo GaoDepartment of Neurosurgery, The First Affiliated Hospital of Kunming Medical University, Kunming 650500, China.
Junjian DaiDepartment of Neurosurgery, The First Affiliated Hospital of Kunming Medical University, Kunming 650500, China.
Xiao YuDepartment of Otolaryngology-Head and Neck Surgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China.ORCID 0000-0001-5668-7241
Shilong CaoDepartment of Neurosurgery, The First People's Hospital of Yunnan Province, Kunming 650500, China.
Congcong WuDepartment of Neurosurgery, The First People's Hospital of Yunnan Province, Kunming 650500, China.
Changsen ZhuDepartment of Otolaryngology-Head and Neck Surgery, The First People's Hospital of Yunnan Province, Kunming 650500, China.
Bingchan LiDepartment of Otolaryngology-Head and Neck Surgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China.
Anquan ShangDepartment of Laboratory Medicine, Affiliated Lianyungang Clinical College of Nantong University, Lianyungang 222000, China.ORCID 0000-0003-2820-1982
Ning WangDepartment of Neurosurgery, Zhuji Affiliated Hospital of Wenzhou Medical University, Zhuji 312000, China.
Jianguo MengDepartment of Neurosurgery, Yancheng Tinghu District People's Hospital, Yancheng 224000, China.

Funding

This work was supported by grants from the Scientific Research Project of Jiangsu Provincial Health Commission K2024084, JSZJ20241204
6 · The paper itself

Abstract

backgroundProlonged hospitalization after endoscopic endonasal transsphenoidal surgery for non-functioning pituitary adenomas increases costs and complications. Early identification of high-risk patients is crucial for optimizing perioperative management.

methodsIn this dual-center retrospective study of 368 patients, a predictive model was developed using a training cohort (

resultsSix independent predictors were identified: age > 50 years, vertical tumor diameter > 17.8 mm, anteroposterior diameter > 20.5 mm, transverse diameter > 17.8 mm, anesthesia duration > 194 min, and systolic blood pressure > 119 mmHg. The nomogram showed moderate but reproducible discrimination (AUC = 0.762 in training; 0.750 in validation). Calibration and decision curve analysis confirmed good fit and clinical utility.

conclusionWe developed and validated a practical nomogram predicting prolonged hospitalization risk using readily available perioperative variables. This tool may assist individualized risk stratification and perioperative planning in comparable clinical settings, with potential implications for patient flow and resource utilization.

Indexed as

endoscopic endonasal transsphenoidal surgeryextended hospital length of staynomogramnon-functioning pituitary adenomasperioperative managementrisk prediction

Identifiers

PMID42192942
PMCPMC13204605

What Socratic 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 Socratic graph.