Evidence map›Paper›PMID 31907228›Full record

ArticleCMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne2020

Complementing chronic frailty assessment at hospital admission with an electronic frailty index (FI-Laboratory) comprising routine blood test results.

Hugh Logan Ellis, Bettina Wan, Michael Yeung, Arshad Rather, Imran Mannan, Catherine Bond, Catherine Harvey, Nadia Raja, Peter Dutey-Magni, Kenneth Rockwood and 2 more

Open access · goldAbstract read
In one paragraph

Article in CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 3 pooled it
5.7field-weighted citation impact, top 3% 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

44 citing papers in PubMed, 3 syntheses or guidelines pooled it, 76 citations in OpenAlex.

  1. Pooled it
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  5. Patterns of patient worry following major emergency abdominal surgery: a 180-day follow-up study.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2026
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  6. Review
  7. Heart Stress, Frailty and Mortality Risk in two prospective cohorts.medRxiv : the preprint server for health sciences · 2026
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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

12 authors at 5 institutions in 3 countries.

Hugh Logan EllisUniversity College London Hospitals NHS Foundation Trust (Logan Ellis, Wan, Yeung, Rather, Mannan, Bond, Harvey, Raja, Davis); Institute of Health Informatics (Dutey-Magni), UCL; MRC Unit for Lifelong Health and Ageing at UCL (Davis, Searle), London, UK; Division of Geriatric Medicine, Department of Medicine (Rockwood, Searle), Dalhousie University, Halifax, NS.
Bettina WanUniversity College London Hospitals NHS Foundation Trust (Logan Ellis, Wan, Yeung, Rather, Mannan, Bond, Harvey, Raja, Davis); Institute of Health Informatics (Dutey-Magni), UCL; MRC Unit for Lifelong Health and Ageing at UCL (Davis, Searle), London, UK; Division of Geriatric Medicine, Department of Medicine (Rockwood, Searle), Dalhousie University, Halifax, NS.
Michael YeungUniversity College London Hospitals NHS Foundation Trust (Logan Ellis, Wan, Yeung, Rather, Mannan, Bond, Harvey, Raja, Davis); Institute of Health Informatics (Dutey-Magni), UCL; MRC Unit for Lifelong Health and Ageing at UCL (Davis, Searle), London, UK; Division of Geriatric Medicine, Department of Medicine (Rockwood, Searle), Dalhousie University, Halifax, NS.
Arshad RatherUniversity College London Hospitals NHS Foundation Trust (Logan Ellis, Wan, Yeung, Rather, Mannan, Bond, Harvey, Raja, Davis); Institute of Health Informatics (Dutey-Magni), UCL; MRC Unit for Lifelong Health and Ageing at UCL (Davis, Searle), London, UK; Division of Geriatric Medicine, Department of Medicine (Rockwood, Searle), Dalhousie University, Halifax, NS.
Imran MannanUniversity College London Hospitals NHS Foundation Trust (Logan Ellis, Wan, Yeung, Rather, Mannan, Bond, Harvey, Raja, Davis); Institute of Health Informatics (Dutey-Magni), UCL; MRC Unit for Lifelong Health and Ageing at UCL (Davis, Searle), London, UK; Division of Geriatric Medicine, Department of Medicine (Rockwood, Searle), Dalhousie University, Halifax, NS.
Catherine BondUniversity College London Hospitals NHS Foundation Trust (Logan Ellis, Wan, Yeung, Rather, Mannan, Bond, Harvey, Raja, Davis); Institute of Health Informatics (Dutey-Magni), UCL; MRC Unit for Lifelong Health and Ageing at UCL (Davis, Searle), London, UK; Division of Geriatric Medicine, Department of Medicine (Rockwood, Searle), Dalhousie University, Halifax, NS.
Catherine HarveyUniversity College London Hospitals NHS Foundation Trust (Logan Ellis, Wan, Yeung, Rather, Mannan, Bond, Harvey, Raja, Davis); Institute of Health Informatics (Dutey-Magni), UCL; MRC Unit for Lifelong Health and Ageing at UCL (Davis, Searle), London, UK; Division of Geriatric Medicine, Department of Medicine (Rockwood, Searle), Dalhousie University, Halifax, NS.
Nadia RajaUniversity College London Hospitals NHS Foundation Trust (Logan Ellis, Wan, Yeung, Rather, Mannan, Bond, Harvey, Raja, Davis); Institute of Health Informatics (Dutey-Magni), UCL; MRC Unit for Lifelong Health and Ageing at UCL (Davis, Searle), London, UK; Division of Geriatric Medicine, Department of Medicine (Rockwood, Searle), Dalhousie University, Halifax, NS.
Peter Dutey-MagniUniversity College London Hospitals NHS Foundation Trust (Logan Ellis, Wan, Yeung, Rather, Mannan, Bond, Harvey, Raja, Davis); Institute of Health Informatics (Dutey-Magni), UCL; MRC Unit for Lifelong Health and Ageing at UCL (Davis, Searle), London, UK; Division of Geriatric Medicine, Department of Medicine (Rockwood, Searle), Dalhousie University, Halifax, NS.
Kenneth RockwoodUniversity College London Hospitals NHS Foundation Trust (Logan Ellis, Wan, Yeung, Rather, Mannan, Bond, Harvey, Raja, Davis); Institute of Health Informatics (Dutey-Magni), UCL; MRC Unit for Lifelong Health and Ageing at UCL (Davis, Searle), London, UK; Division of Geriatric Medicine, Department of Medicine (Rockwood, Searle), Dalhousie University, Halifax, NS.
Daniel DavisUniversity College London Hospitals NHS Foundation Trust (Logan Ellis, Wan, Yeung, Rather, Mannan, Bond, Harvey, Raja, Davis); Institute of Health Informatics (Dutey-Magni), UCL; MRC Unit for Lifelong Health and Ageing at UCL (Davis, Searle), London, UK; Division of Geriatric Medicine, Department of Medicine (Rockwood, Searle), Dalhousie University, Halifax, NS.
Samuel D SearleUniversity College London Hospitals NHS Foundation Trust (Logan Ellis, Wan, Yeung, Rather, Mannan, Bond, Harvey, Raja, Davis); Institute of Health Informatics (Dutey-Magni), UCL; MRC Unit for Lifelong Health and Ageing at UCL (Davis, Searle), London, UK; Division of Geriatric Medicine, Department of Medicine (Rockwood, Searle), Dalhousie University, Halifax, NS ssearle@dal.ca.
University College London · GBUniversity College London Hospitals NHS Foundation Trust · GBDalhousie University · CAMRC Unit for Lifelong Health and Ageing · GBInstitute of Informatics of the Slovak Academy of Sciences · SK

Funding

Wellcome Trust 107467/Z/15/Z
6 · The paper itself

Abstract

backgroundAcutely ill and frail older adults have complex social and health care needs. It is important to understand how this complexity affects acute outcomes for admission to hospital. We validated a frailty index using routine admission laboratory tests with outcomes after patients were admitted to hospital.

methodsIn a prospective cohort of older adults admitted to a large tertiary hospital in the United Kingdom, we created a frailty index from routine admission laboratory investigations (FI-Laboratory) linked to data comprising hospital outcomes. We evaluated the association between the FI-Laboratory and total days spent in hospital, discharge to a higher level of care, readmission and mortality.

resultsOf 2552 admissions among 1750 older adults, we were able to generate FI-Laboratory values for 2254 admissions (88.3% of the cohort). More than half of admitted patients were women (55.3%) and the mean age was 84.6 (SD 14.0) years. We found that the FI-Laboratory correlated weakly with the Clinical Frailty Scale (CFS;

interpretationWe determined that FI-Laboratory, distinct from baseline frailty, could be used to predict risk of many adverse outcomes. The score is therefore a useful way to quantify the degree of acute illness in frail older adults.

Indexed as

Diagnostic Tests, RoutineHematologic TestsSeverity of Illness IndexAgedAged, 80 and overFemaleFrail ElderlyFrailtyGeriatric AssessmentHospitalizationHospital MortalityHumansLength of StayMaleProportional Hazards ModelsProspective Studies

Identifiers

PMID31907228
PMCPMC6944299
OpenAlexW2998564036

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.