Evidence map›Paper›PMID 32981142›Full record

ArticleJournal of clinical nursing2020

Predicting hospital outcomes with the reported edmonton frail scale-Thai version in orthopaedic older patients.

Inthira Roopsawang, Hilaire Thompson, Oleg Zaslavsky, Basia Belza

Open access · hybridAbstract read
In one paragraph

Article in Journal of clinical nursing, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 3 pooled it
0.9field-weighted citation impact, top 22% 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

13 citing papers in PubMed, 3 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Prevalence and unfavorable outcome of frailty in older adults with gastric cancer: a systematic review and meta-analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
    Pooled it
  3. Pooled it
  4. Observational
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  10. The impact of preoperative frailty on perioperative neurocognitive disorders in elderly patients: A systematic review and meta-analysis.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2024
    Review
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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

4 authors at 2 institutions in 2 countries.

Inthira RoopsawangRamathibodi School of Nursing, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.ORCID https://orcid.org/0000-0001-8936-1627
Hilaire ThompsonDepartment of Biobehavioral Nursing and Health Informatics, School of Nursing, University of Washington, Seattle, WA, USA.
Oleg ZaslavskyDepartment of Biobehavioral Nursing and Health Informatics, School of Nursing, University of Washington, Seattle, WA, USA.
Basia BelzaDepartment of Biobehavioral Nursing and Health Informatics, School of Nursing, University of Washington, Seattle, WA, USA.
University of Washington · USMahidol University · TH

Funding

Faculty of Medicine Ramathibodi Hospital, Mahidol University, Thailandthe de Tornyay Center for Healthy Aging and Hester McLaws, University of Washington, Seattle
6 · The paper itself

Abstract

AIMS AND

objectivesTo test the ability of the Reported Edmonton Frail Scale-Thai version to predict hospital outcomes compared with standard preoperative assessment measures (American Society of Anesthesiologists physical status classification and the Elixhauser Comorbidity Measure) in older Thai orthopaedic patients.

backgroundFrailty is a common geriatric condition. No previous studies have assessed frailty among orthopaedic patients in Thailand. Effective frailty screening could enhance quality of care.

designProspective cohort study in a university hospital.

methodsTwo hundred hospitalised patients, aged 60 years or older and scheduled for orthopaedic surgery, participated in the study. Frailty was evaluated using the Reported Edmonton Frail Scale-Thai version. Multiple Firth logistic regression was used to model the effect of frailty on postoperative complications, postoperative delirium and discharge disposition. Length of stay was examined using Poisson regression. Comparing predictability of the instruments, the area under the receiver operating characteristic curve and mean squared errors were evaluated. The STROBE guideline was used.

resultsParticipants' mean age was 72 years; mostly were female, frail and underwent knee, spine and/or hip surgery. Poor health outcomes including postoperative complications, postoperative delirium, and not being discharged to the home were commonly identified. The length of stay varied from three days to more than ten weeks. Frailty was significantly associated with postoperative complications, postoperative delirium and prolonged length of stay. The Reported Edmonton Frail Scale-Thai version revealed good performance for predicting postoperative complications and postoperative delirium and was improved by combining with standard assessments.

conclusionThe Reported Edmonton Frail Scale-Thai version, alone or combined with standard assessment, was useful for predicting adverse outcomes in older adults undergoing orthopaedic surgery. RELEVANCE TO CLINICAL PRACTICE: These findings indicate that nurse professionals should apply culturally sensitive frailty screening to proactively identify patients' risk of frailty, improve care quality and prevent adverse outcomes.

Indexed as

Frail ElderlyOrthopedicsAgedGeriatric AssessmentHospitalsHumansLength of StayMiddle AgedPostoperative ComplicationsProspective StudiesRisk FactorsThailandfrail elderlyfrailtygeriatric assessmenthospitalsinstrumentsolder adultsorthopaedic surgerypatient carepostoperative complicationsquality of care

Identifiers

PMID32981142
PMCPMC7756727
OpenAlexW3088623614

What OpenQuestion holds

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LicenceCC BY-NC
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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.