Evidence map›Paper›PMID 20424808›Full record

SynthesisThe journal of nutrition, health & aging2010

Predicting functional adverse outcomes in hospitalized older patients: a systematic review of screening tools.

M De Saint-Hubert, D Schoevaerdts, P Cornette, W D'Hoore, B Boland, C Swine

Abstract readSystematic Review
In one paragraph

Synthesis in The journal of nutrition, health & aging, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 3 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

36 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Validation of Screening Tools for Predicting the Risk of Functional Decline in Hospitalized Elderly Patients.International journal of environmental research and public health · 2022
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Predicting Length of Stay and Discharge Destination for Surgical Patients: A Cohort Study.International journal of environmental research and public health · 2020
    Article
  16. Article
  17. Factors That Contribute to Recovery of Community Mobility After Hospitalization Among Community-Dwelling Older Adults.Journal of applied gerontology : the official journal of the Southern Gerontological Society · 2020
    Article
  18. Article
  19. Article
  20. Observational
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

6 authors.

M De Saint-HubertCliniques Universitaires de Mont-Godinne, Geriatric Department, UCLouvain, Rue du Dr Therasse, 1-5530 Yvoir. marie.desainthubert@uclouvain.be
D Schoevaerdts
P Cornette
W D'Hoore
B Boland
C Swine

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFunctional decline frequently occurs following hospitalisation in older people and may be prevented or minimized by specific management. Such care processes needs appropriate early screening of older hospitalized patients.

objectiveTo identify instruments able to detect on admission older hospitalized patients at risk of functional decline at and after discharge.

methodsFunctional decline is defined as loss of independence in activities of daily living (functional decline) or admission in nursing home. The systematic search used Medline 1970-2007, Web of Science 1981-2007 and references list of relevant papers. An independent epidemiologist assessed methodological quality of the retained articles.

resultsWe found 12 studies developing predictive tools, including 7145 patients. Functional outcomes were assessed at or after discharge. Preadmission functional status, cognition, and social support were major components for prediction of functional evolution. Few instruments are fully validated and data concerning reliability are often lacking. Operational characteristics are moderate (sensitivity 29-87%, negative likelihood ratio 0.2-0.8).

conclusionsInstruments predicting functional adverse outcomes are difficult to compare due to heterogeneity of functional outcomes and hospital settings. The reason why so many tools have been developed is probably because none gives full satisfaction: their general predictive validity and performances are insufficient. Further research is needed to improve the screening of frail older patients admitted to hospital with standardized and validated tools.

Indexed as

Activities of Daily LivingGeriatric AssessmentOutcome Assessment, Health CareRisk AssessmentAgedAged, 80 and overFemaleFrail ElderlyHospitalizationHumansMaleMass ScreeningNutritional StatusNutrition AssessmentPredictive Value of TestsSocial Support

Identifiers

PMID20424808
PMCPMC12879554

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.