Evidence map›Paper›PMID 39926443›Full record

ArticleSurgical neurology international2025

Impact of patient ethnicity, socioeconomic deprivation, and comorbidities on length of stay after cranial meningioma resections: A public healthcare perspective.

Aaminah Ashraf, Sayan Biswas, Ajay Dadhwal, Ella Snowdon, Joshua MacArthur, Ved Sarkar, Callum James Tetlow, K Joshi George

Abstract read
In one paragraph

Article in Surgical neurology international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Aaminah AshrafDepartment of Medicine, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom.
Sayan BiswasSpecialized Foundation Doctor Training Programme, Edge Hill University, Lancashire, United Kingdom.
Ajay DadhwalDepartment of Medicine, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom.
Ella SnowdonSpecialized Foundation Doctor Training Programme, Edge Hill University, Lancashire, United Kingdom.
Joshua MacArthurDepartment of Surgery and Cancer, Northwick Park Hospital, London Northwest University Healthcare, Harrow, United Kingdom.
Ved SarkarDepartment of Computer Science, College of Letters and Sciences, University of California, Berkeley, California, United States.
Callum James TetlowDepartment of Data Science, NHS Northern Care Alliance, Salford, United Kingdom.
K Joshi GeorgeDepartment of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Postoperative hospital length of stay (LOS) is crucial for assessing care quality, patient recovery, and resource management. However, data on how preoperative non-tumor variables affect LOS post-meningioma resection are scarce. We aimed to evaluate how ethnicity, comorbidities, and socioeconomic indices influence LOS after non-skull base meningioma resection. Methods: A single tertiary center retrospective case series analysis of all patients undergoing non-skull base meningioma resection from 2013 to 2023 was conducted. Fourteen independent variables (age, ethnicity, sex, hypertension, diabetes mellitus [DM], chronic obstructive pulmonary disease [COPD], heart failure, myocardial infarction, stroke, dementia, cancer, index of multiple deprivations [IMD] decile, smoking, and alcohol status) were analyzed to predict the binary outcome of short (≤5 days) or extended (>5) LOS. Results: Four hundred and seventy-nine patients were analyzed, with 65.8% of patients having a short LOS of ≤5 days. Patient ethnicity (hazard ratio [HR]: 1.160 [1.023-1.315], Conclusion: Preoperative factors such as ethnicity, deprivation index, and comorbidities can potentially predict postoperative hospital LOS after meningioma resection. There is potential to develop decision support tools integrating these preoperative factors with peri- and post-operative data.

Indexed as

Index of multiple deprivationLength of stayMeningiomaNational health service

Identifiers

PMID39926443
PMCPMC11799700

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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.