Evidence map›Paper›PMID 41857498›Full record

ArticleBMC emergency medicine2026

Nocturnal warming and emergency department admissions: a nationwide association and projection study in Singapore.

Baihui Xu, Sushan Wang, Pranav Tewari, Esther Choo Li Wen, Peihong Guo, Kelvin Bryan Tan, John Abisheganaden, Steve H L Yim, Borame Lee Dickens, Jue Tao Lim and 1 more

Abstract read
In one paragraph

Article in BMC emergency medicine, 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

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

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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

11 authors.

Baihui XuLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore. nerissax19@outlook.com.
Sushan WangLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
Pranav TewariLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
Esther Choo Li WenLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
Peihong GuoLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
Kelvin Bryan TanMinistry of Health, Singapore, Singapore.
John AbisheganadenTan Tock Seng Hospital, Singapore, Singapore.
Steve H L YimLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
Borame Lee DickensSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
Jue Tao LimLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
Chen ChenLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClimate change is increasingly influencing the prevalence and severity of various diseases. While previous studies have linked climate variables to emergency department (ED) admissions, few have examined cause-specific patterns, particularly in tropical urban settings.

objectiveWe quantified exposure–response relationships between minimum temperature (T-min) and cause-specific ED admissions in Singapore and projected future admission rates and excess incidence ratios (EIRs) from 2021 to 2060 under three Shared Socioeconomic Pathway (SSP) climate scenarios (SSP1-2.6, SSP2-4.5, and SSP5-8.5). We also compared admissions during extreme warm-night events with those under normal temperature conditions.

methodsWe analyzed weekly cause-specific ED admissions across nine disease categories from 2010 to 2018, linked to daily minimum temperature and precipitation. Generalized additive models with negative binomial distributions were used to estimate lagged associations (up to six weeks) between weekly mean T-min and ED admission rates, with population as an offset. EIRs were derived to characterize temperature–admission relationships, compare historical and future periods, and estimate excess admissions attributable to warm nights. Model performance was evaluated using temporal hold-out validation, and uncertainty was quantified via simulation-based uncertainty propagation.

resultsDistinct nonlinear temperature–disease relationships were observed. Cardiovascular, endocrine, genitourinary, infectious/parasitic, musculoskeletal, and skin diseases exhibited higher incidence rates when T-min exceeded ~ 25.1 °C, while chronic respiratory diseases responded only above 25.9 °C. Oral diseases increased at cooler temperatures. Projections indicated significant increases in ED admissions across most categories under future scenarios, especially under SSP585. Elevated nighttime temperatures substantially increase cause-specific ED admissions in tropical Singapore, and continued warming is projected to exacerbate healthcare demand.

Indexed as

Climate ChangeEmergency Service, HospitalPatient AdmissionEmergency Room VisitsHumansSingaporeAmbient temperatureClimate changeEmergency department admissionsGAMNotcurnal warmingPublic health

Identifiers

PMID41857498
PMCPMC13123117

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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.