Evidence map›Paper›PMID 28566362›Full record

ArticleBMJ open2017

Importance and added value of functional impairment to predict mortality: a cohort study in Swedish medical inpatients.

Gustav Torisson, Lars Stavenow, Lennart Minthon, Elisabet Londos

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
14.5field-weighted citation impact, top 2% 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

12 citing papers in PubMed, 19 citations in OpenAlex.

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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 1 country.

Gustav TorissonDepartment of Clinical Sciences, Clinical Memory Research Unit, Lund University, Malmö, Sweden.
Lars StavenowDepartment of Internal Medicine, Skåne University Hospital, Malmö, Sweden.
Lennart MinthonDepartment of Clinical Sciences, Clinical Memory Research Unit, Lund University, Malmö, Sweden.
Elisabet LondosDepartment of Clinical Sciences, Clinical Memory Research Unit, Lund University, Malmö, Sweden.
Lund University · SESkåne University Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccurate estimation of prognosis in multimorbid hospital patients could improve quality of care. This study aims to determine the relative importance and added value of a performance-based activities of daily living (ADL) measure with regard to mortality prediction.

methods200 inpatients, aged over 60 years, were recruited at the Department of General Internal Medicine at a tertiary university hospital. Two nested survival models were built, one with established risk factors (age, sex, Charlson comorbidity index, haemoglobin, albumin, body mass index and glomerular filtration rate), and one using the same covariates with the Gottfries-Bråne-Steen (GBS)-ADL measure added. The relative importance of GBS-ADL was evaluated in the full model. The added value of GBS-ADL was determined by comparing the nested models using four approaches: difference in overall χ

resultsIn the full model, GBS-ADL was the single most important predictor of mortality (χ

conclusionsCompared with a set of available clinical risk factors, impairment in ADL was a stronger predictor of all-cause mortality, showing substantial added value. Implementing quantitative ADL measurements could enable more appropriate and individual care for the elderly.

Indexed as

Activities of Daily LivingHospital MortalityInpatientsAgedAged, 80 and overBody Mass IndexCohort StudiesComorbidityFemaleFollow-Up StudiesGlomerular Filtration RateHemoglobinsHumansMaleMiddle AgedNatriuretic Peptide, BrainHemoglobinsNatriuretic Peptide, Brainagingcomorbidityfunctional statusmortalitystatistical modeling

Identifiers

PMID28566362
PMCPMC5730010
OpenAlexW2618546576

What OpenQuestion holds

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Registered trials

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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.