Evidence mapPaperPMID 37442969Full record

ArticleBMC surgery2023

Predictors of unplanned hospital readmission after non-cardiac surgery in Singapore: a 2-year retrospective review.

Zhao Kai Low, Lydia Liew, Vanessa Chua, Sophia Chew, Lian Kah Ti

Abstract read
In one paragraph

Article in BMC surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Risk of Hospital Readmission among People with CKD: A Population-Based Cohort Study.Clinical journal of the American Society of Nephrology : CJASN · 2026
    Article
  3. 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

5 authors.

Zhao Kai LowDepartment of Anaesthesia, National University Health System, National University Hospital, Main Building, Level 3 (Near Lift Lobby 1), 5 Lower Kent Ridge Road, Singapore, 119074, Singapore. zhaokai.low@mohh.com.sg.
Lydia LiewDepartment of Anaesthesia, National University Health System, National University Hospital, Main Building, Level 3 (Near Lift Lobby 1), 5 Lower Kent Ridge Road, Singapore, 119074, Singapore.
Vanessa ChuaDepartment of Anaesthesia, National University Health System, National University Hospital, Main Building, Level 3 (Near Lift Lobby 1), 5 Lower Kent Ridge Road, Singapore, 119074, Singapore.
Sophia ChewDepartment of Anaesthesiology, Singapore General Hospital, Singapore, Singapore.
Lian Kah TiDepartment of Anaesthesia, National University Health System, National University Hospital, Main Building, Level 3 (Near Lift Lobby 1), 5 Lower Kent Ridge Road, Singapore, 119074, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionUnplanned hospital readmissions after surgery contribute significantly to healthcare costs and potential complications. Identifying predictors of readmission is inherently complex and involves an intricate interplay between medical factors, healthcare system factors and sociocultural factors. Therefore, the aim of this study was to elucidate the predictors of readmissions in an Asian surgical patient population.

methodsA two-year single-institution retrospective cohort study of 2744 patients was performed in a university-affiliated tertiary hospital in Singapore, including patients aged 45 and above undergoing intermediate or high-risk non-cardiac surgery. Unadjusted analysis was first performed, followed by multivariable logistic regression.

resultsTwo hundred forty-nine patients (9.1%) had unplanned 30-day readmissions. Significant predictors identified from multivariable analysis include: American Society of Anaesthesiologists (ASA) Classification grades 3 to 5 (adjusted OR 1.51, 95% CI 1.10-2.08, p = 0.01), obesity (adjusted OR 1.66, 95% CI 1.18-2.34, p = 0.04), asthma (OR 1.70, 95% CI 1.03-2.81, p = 0.04), renal disease (OR 2.03, 95% CI 1.41-2.92, p < 0.001), malignancy (OR 1.68, 95% CI 1.29-2.37, p < 0.001), chronic obstructive pulmonary disease (OR 2.46, 95% CI 1.19-5.11, p = 0.02), cerebrovascular disease (OR 1.73, 95% CI 1.17-2.58, p < 0.001) and anaemia (OR 1.45, 95% CI 1.07-1.96, p = 0.02).

conclusionSeveral significant predictors of unplanned readmissions identified in this Asian surgical population corroborate well with findings from Western studies. Further research will require future prospective studies and development of predictive risk modelling to further address and mitigate this phenomenon.

Indexed as

Patient ReadmissionPostoperative ComplicationsHumansProspective StudiesRetrospective StudiesRisk FactorsSingaporeAsianPost-surgeryReadmissions

Identifiers

PMID37442969
PMCPMC10347775

What Socratic holds

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Registered trials

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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 Socratic graph.