Evidence map›Paper›PMID 42676543›Full record

ArticleCureus2026

Epidemiological Profile, Causes, and Trends of Mortality in the Emergency Department of a Tertiary Hospital in Northern India: A Five-Year Retrospective Study.

Samina Mufti, Sahibzada Junaid, Irum Amin, Tuaiba Ali, Showkat Mufti

Abstract read
In one paragraph

Article in Cureus, 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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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

0 citing papers in PubMed.

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.

Samina MuftiHospital Administration, Sher-i-Kashmir Institute of Medical Sciences, Srinagar, IND.
Sahibzada JunaidHospital Administration, Sher-i-Kashmir Institute of Medical Sciences, Srinagar, IND.
Irum AminHospital Administration, Sher-i-Kashmir Institute of Medical Sciences, Srinagar, IND.
Tuaiba AliObstetrics and Gynaecology, Lady Hardinge Medical College, New Delhi, IND.
Showkat MuftiEmergency Medicine, Sher-i-Kashmir Institute of Medical Sciences, Srinagar, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEmergency departments (EDs) in tertiary care hospitals serve as the primary interface for critically ill patients and are key indicators of health system performance. Mortality data from EDs provide actionable insights for quality improvement, resource allocation, and policy planning.

objectivesThe objective of this study was to analyse patterns of emergency mortality at a tertiary care teaching hospital over five years (2021-2025) across temporal, demographic, diagnostic, and specialty-specific dimensions.

methodsA retrospective analysis of 38,818 emergency admissions from January 2021 to December 2025 was performed. Medical records data coded with the International Classification of Diseases, Tenth Revision (ICD-10) were analysed after correction of coding errors and diagnostic reclassification. Statistical analyses included Kaplan-Meier survival analysis, chi-square tests, Mann-Whitney U and Kruskal-Wallis H tests, binary logistic regression, and the Standardized Mortality Ratio (SMR).

resultsA total of 7,318 deaths were recorded, for an overall crude mortality rate of 18.9%. Mortality declined from 26.2% in 2021 to 12.7% in 2025. Winter (23.6%), the dawn period (04:00-07:59 hours; 34.3%), and the night shift (27.3%) carried the highest mortality. Elderly patients aged 61+ years accounted for 3,879 (53.0%) deaths, at a 33.3% mortality rate. The circulatory system was the leading cause (1,954 deaths; 26.7%), while septicaemia (A41.9) was the single most common diagnosis (742 deaths). Increasing age was the strongest independent predictor of death (adjusted OR (aOR) 5.21, 95% CI 4.63-5.86). The SMR fell from 2.62 to 1.27 but remained above unity throughout.

conclusionThe ED demonstrates significant temporal, demographic, and diagnostic mortality patterning. The declining SMR reflects meaningful quality improvement, yet persistent excess mortality during winter, at night, and among the elderly identifies clear targets for system-level intervention.

Indexed as

emergency mortalityicd-10intracranial haemorrhagekaplan-meiersepticaemiastandardized mortality ratiotertiary care

Identifiers

PMID42676543
PMCPMC13527345

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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.