Evidence map›Paper›PMID 35118603›Full record

Observational studyDrugs & aging2022

Which Potentially Inappropriate Medications List Can Detect Patients At Risk of Readmissions in the Older Adult Population Admitted for Falls? An Observational Multicentre Study Using a Clinical Data Warehouse.

Rouba Assi, Camille Schwab, Asmae El Abd, Christine Fernandez, Patrick Hindlet

Open access · greenAbstract readMulticenter StudyObservational Study
PubMed Publisher
In one paragraph

Observational study in Drugs & aging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.1field-weighted citation impact, top 56% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 1 citations in OpenAlex.

  1. Pooled it
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 1 institution in 1 country.

Rouba AssiGHU AP-HP, Sorbonne Université, Hôpital Saint Antoine, Pharmacie, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Paris, France.
Camille SchwabGHU AP-HP, Sorbonne Université, Hôpital Saint Antoine, Pharmacie, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Paris, France. camille.schwab@aphp.fr.ORCID 0000-0003-3330-7669
Asmae El AbdGHU AP-HP, Sorbonne Université, Hôpital Saint Antoine, Pharmacie, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Paris, France.
Christine FernandezGHU AP-HP, Sorbonne Université, Hôpital Saint Antoine, Pharmacie, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Paris, France.
Patrick HindletGHU AP-HP, Sorbonne Université, Hôpital Saint Antoine, Pharmacie, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Paris, France.
Inserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveHospital readmissions are common in the older adult population and potentially inappropriate medications are known to be involved in these readmissions. Several lists of potentially inappropriate medications have been published in diverse countries in order to adapt the lists to local specificities. Among them, the Beers Criteria

methodsWe conducted a multicentre, observational, retrospective cohort study. Data from older patients initially hospitalised for falls in 2019 and discharged home were retrieved from the Clinical Data Warehouse. Exposure to potentially inappropriate medications was classified according to the six lists mentioned above. The local ethics committee approved the study protocol (number CER-2020-79).

resultsAfter adjustments using propensity score matching, taking a potentially inappropriate medication as per the Laroche and PRISCUS lists was associated with a 30-day hospital readmission with an odds ratio of 1.58 (95% confidence interval 1.06-2.37) and 1.68 (95% confidence interval 1.13-2.50), respectively, while the other four studied lists showed no associations with readmissions.

conclusionsOur study evidenced that not all lists published allow the accurate prediction of hospital readmissions to the same extent. We found that the Laroche and PRISCUS lists were associated with increased 30-day all-cause hospital readmissions after an index admission with a fall-related injury.

Indexed as

Patient ReadmissionPotentially Inappropriate Medication ListAgedData WarehousingHumansInappropriate PrescribingRetrospective Studies

Identifiers

PMID35118603
OpenAlexW4210696618

What OpenQuestion holds

Textmetadata
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.