Evidence map›Paper›PMID 40778307›Full record

ArticleBJA open2025

Socioeconomic deprivation and postoperative mortality: a retrospective analysis of prospectively collected data.

Ross Lilley, Jason Woodier, Jennifer Summers, Patrice Forget

Abstract read
In one paragraph

Article in BJA open, 2025. 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

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

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

4 authors.

Ross LilleyAberdeen Centre for Arthritis and Musculoskeletal Health (Epidemiology group), Institute of Applied Health Sciences, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Foresterhill Health Campus, Aberdeen, UK.
Jason WoodierDepartment of Anaesthesia, NHS Grampian, Aberdeen, UK.
Jennifer SummersAberdeen Centre for Arthritis and Musculoskeletal Health (Epidemiology group), Institute of Applied Health Sciences, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Foresterhill Health Campus, Aberdeen, UK.
Patrice ForgetAberdeen Centre for Arthritis and Musculoskeletal Health (Epidemiology group), Institute of Applied Health Sciences, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Foresterhill Health Campus, Aberdeen, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Deprivation and inequality are globally increasing. This study aims to explore the relationship between deprivation and postoperative mortality. Methods: A retrospective analysis was conducted using prospectively collected data from all Aberdeen Royal Infirmary surgical patients from 2011 to 2019. Trends in Scottish Index of Multiple Deprivation (SIMD), sex, ethnicity, and speciality of care over the period were described. A Cox regression model was used to determine the effect of SIMD quintiles on 90-day postoperative mortality. Results: No trends were observed in sex and SIMD, but proportions of certain specialities and ethnicities changed over time. A total of 2609 of 79 708 participants died within 90 days of their operation (crude mortality of 3.3%). There were significant differences in sex, age, ethnicity, and speciality across SIMD quintiles. Cox regression, adjusted for these variables, revealed that a greater level of deprivation was associated with greater mortality at 90 days (hazard ratio 1.594, 95% confidence interval 1.335-1.905 for SIMD 1 compared with SIMD 5 reference). Conclusions: Deprivation is associated with 90-day postoperative mortality. The level of deprivation may be considered when planning perioperative care.

Indexed as

deprivationmortalitysurgery

Identifiers

PMID40778307
PMCPMC12329126

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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.