Evidence map›Paper›PMID 31362964›Full record

SynthesisBMJ open2019

Risk scores identifying elderly inpatients at risk of 30-day unplanned readmission and accident and emergency department visit: a systematic review.

Camille Schwab, Patrick Hindlet, Brigitte Sabatier, Christine Fernandez, Virginie Korb-Savoldelli

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% of its field
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Optimizing temporal windows for wearable-augmented post-discharge risk prediction: a methods study.Journal of the American Medical Informatics Association : JAMIA · 2026
    Article
  3. Observational
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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 at 3 institutions in 1 country.

Camille SchwabService Pharmacie, Hôpital européen Georges Pompidou - Assistance Publique Hôpitaux de Paris, Paris, France.
Patrick HindletEquipe 6, Institut Pierre Louis d'Epidemiologie et de Sante Publique, Paris, France.
Brigitte SabatierService Pharmacie, Hôpital européen Georges Pompidou - Assistance Publique Hôpitaux de Paris, Paris, France.
Christine FernandezEquipe 6, Institut Pierre Louis d'Epidemiologie et de Sante Publique, Paris, France.
Virginie Korb-SavoldelliService Pharmacie, Hôpital européen Georges Pompidou - Assistance Publique Hôpitaux de Paris, Paris, France.
Université Paris-Sud · FRInserm · FRSorbonne Université · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe aim of this systematic review was to describe and analyse the performance statistics of validated risk scores identifying elderly inpatients at risk of early unplanned readmission. DATA SOURCES: We identified potentially eligible studies by searching MEDLINE, EMBASE, COCHRANE and Web of Science. Our search was restricted to original studies, between 1966 and 2018. ELIGIBILITY CRITERIA: Original studies, which internally or externally validated the clinical scores of hospital readmissions in elderly inpatients. DATA EXTRACTION AND SYNTHESIS: A data extraction grid based on Strengthening the Reporting of Observational Studies in Epidemiology and Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis statements was developed and completed by two reviewers to collect general data. The same process was used to extract metrological data of the selected scores. QUALITY ASSESSMENT OF THE INCLUDED STUDIES: Assessment of the quality and risk of bias in individual studies was performed by two reviewers, using the validated Effective Public Health Practice Project quality assessment tool.

participantsElderly inpatients discharged to home from hospital or returning home after an accident and emergency department visit.

resultsA total of 12 studies and five different scores were included in the review. The five scores present area under the receiving operating characteristic curve between 0.445 and 0.69. Identification of Senior At Risk (ISAR) and Triage  Risk Screening Tool (TRST) scores were the more frequently validated scores with ISAR being more sensitive and TRST more specific.

conclusionsThe TRST and ISAR scores have been extensively studied and validated. The choice of the most suitable score relies on available patient data, patient characteristics and the foreseen clinical care intervention. In order to pair the intervention with the appropriate clinical score, further studies of external validation of clinical scores, identifying elderly patients at risk of early unplanned readmission, are needed. PROSPERO REGISTRATION NUMBER: CRD42017054516.

Indexed as

Emergency Service, HospitalPatient ReadmissionRisk AssessmentAgedHumansInpatientsObservational Studies as TopicRisk FactorsSensitivity and Specificityclinical risk scoreselderlypublic healthreadmission

Identifiers

PMID31362964
PMCPMC6677948
OpenAlexW2965275943

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.