Evidence map›Paper›PMID 35455661›Full record

ReviewJournal of personalized medicine2022

LACE Index to Predict the High Risk of 30-Day Readmission: A Systematic Review and Meta-Analysis.

Vasuki Rajaguru, Whiejong Han, Tae Hyun Kim, Jaeyong Shin, Sang Gyu Lee

Registry-linked trialAbstract readReview
In one paragraph

Review in Journal of personalized medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07701109 (The Effect of Individualized Discharge Education on Readmission Rates in a High-Risk Population According to the LACE Index After Myocardial Infarction), which is not on this map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing 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.

NCT07701109 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

The Effect of Individualized Discharge Education on Readmission Rates in a High-Risk Population According to the LACE Index After Myocardial Infarction

TypeinterventionalSponsorAdiyaman Provincial Health DirectorateRan2026 to 2027Enrolled82ConditionsMyocardial InfarctionArmsIndividualized discharge education
3 · Its place in the literature

Who cites it

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

  1. Pooled it
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  8. Improving Readmission Risk Prediction Algorithms for Sepsis.American journal of critical care : an official publication, American Association of Critical-Care Nurses · 2025
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  14. Factors associated with avoidable 30-day readmissions in patients with cancer: a single institution study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
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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.

Vasuki RajaguruDepartment of Healthcare Management, Graduate School of Public Health, Yonsei University, Seoul 03722, Korea.ORCID 0000-0003-2519-2814
Whiejong HanDepartment of Healthcare Management, Graduate School of Public Health, Yonsei University, Seoul 03722, Korea.
Tae Hyun KimDepartment of Healthcare Management, Graduate School of Public Health, Yonsei University, Seoul 03722, Korea.ORCID 0000-0003-1053-8958
Jaeyong ShinDepartment of Preventive Medicine, College of Medicine, Yonsei University, Seoul 03722, Korea.ORCID 0000-0002-2955-6382
Sang Gyu LeeDepartment of Preventive Medicine, College of Medicine, Yonsei University, Seoul 03722, Korea.ORCID 0000-0003-4847-2421

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The LACE index accounts for: Length of stay (L), Acuity of admission (A), Comorbidities (C), and recent Emergency department use (E). This study aimed to explore the LACE index to predict the high risk of 30-day readmission in patients with diverse disease conditions by an updated systematic review. A systematic review carried out by electronic databases from 2011−2021. The studies included a LACE index score for 30-day of readmission and patients with all types of diseases and were published in the English language. The meta-analysis was performed by using a random-effects model with a 95% confidence interval. Of 3300 records, a total of 16 studies met the inclusion criteria. The country of publication was primarily the USA (n = 7) and study designs were retrospective and perspective cohorts. The average mean age was 64 years. The C-statistics was 0.55 to 0.81. The pooled random effects of relative risk readmission were overall (RR, 0.20; 95% CI, 0.12−0.34) and it was favorable. The subgroup analysis of the opted disease-based relative risk of readmissions of all causes, cardiovascular and pulmonary diseases, and neurological diseases were consistent and statistically significant at p < 0.001 level. Current evidence of this review suggested that incorporating a high-risk LACE index showed favorable to risk prediction and could be applied to predict 30-day readmission with chronic conditions. Future study would be planned to predict the high risk of 30-day readmission in acute clinical care for utility, and applicability of promising LACE index in South Korean hospitals.

Indexed as

30-day readmissionhospital readmissionsquality improvementrelative risk

Identifiers

PMID35455661
PMCPMC9024499

What OpenQuestion holds

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Registered trials

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.