Evidence map›Paper›PMID 27499310›Full record

ArticleThe journal of nutrition, health & aging2016

A comparison of Frailty Indexes Based on a Comprehensive Geriatric Assessment for the Prediction of Adverse Outcomes.

M Ritt, K H Rádi, C Schwarz, L C Bollheimer, C C Sieber, K G Gaßmann

Abstract readComparative Study
In one paragraph

Article in The journal of nutrition, health & aging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. FI-CGA and eFI-CGA in Frailty Care: a Scoping Review.Canadian geriatrics journal : CGJ · 2026
    Review
  3. Article
  4. Review
  5. Validation of the Japanese version of the Clinical Frailty Scale.Geriatrics & gerontology international · 2025
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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

6 authors.

M RittPriv.-Doz. Dr. med. Dr. med. univ. Martin Ritt, Department of Internal Medicine III (Medicine of Ageing), Geriatrics Centre Erlangen, Hospital of the Congregation of St. Francis Sisters of Vierzehnheiligen Rathsbergerstraße 57, D-91054 Erlangen, Germany, Tel: +49-(0)9131 822 3702, Fax: +49-(0)9131 822 3703, Email: Martin.Ritt@waldkrankenhaus.de.
K H Rádi
C Schwarz
L C Bollheimer
C C Sieber
K G Gaßmann

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo compare the ability of different frailty indexes based on a standardized comprehensive geriatric assessment (FI-CGAs) for predicting adverse outcomes. DESIGN AND

settingProspective cohort study. Geriatric wards of a general hospital.

participants307 hospitalized patients ≥ 65 years. MEASUREMENTS: The FI-CGA-10D (potential health deficits in ten functional domains), the FI-CGA-10D+CM (aforementioned potential health deficits and co-morbidity burden) and the FI-CGA-MIHD (multiple, individual potential health deficits, including functional deficits, co-morbid diseases, amongst others) were assessed at baseline during the patients` hospital stay. The FI-CGAs were analyzed as categorical (according to a FI-CGA score < and ≥ 0.25) and continuous variables. Patients were followed up over 6 months.

resultsThe FI-CGA-10D, FI-CGA-10+CM and the FI-CGA-MIHD predicted 6-month mortality when expressed as categorical (area under the receiver operating characteristic curve (AUC): AUC = 0.611, AUC = 0.637, AUC = 0.616, all p < 0.050, respectively) or continuous variables (AUC = 0.769, AUC = 0.837, AUC = 0.834, all p < 0.001, respectively). AUC comparisons showed that all three FI-CGAs exhibited a comparable ability to predict 6-month mortality when the FI-CGAs were expressed as categorical variables (all p > 0.200) and the FI-CGA-10D+CM and the FI-CGA-MIHD showed a better ability to predict 6-month mortality than the FI-CGA-10D, when the FI-CGAs were expressed as continuous variables (p < 0.001 and p = 0.007, respectively). None of the FI-CGAs predicted any of the other outcomes, i.e., unplanned re-admission to hospital and a fall during follow-up, irrespective of whether the FI-CGAs were expressed as categorical or continuous variables (all p ≥ 0.050).

conclusionsThe more complex FI-CGAs, i.e., the FI-CGA-10D+CM and the FI-CGA-MIHD, revealed better ability to predict 6 month mortality than the more simple FI-CGA, i.e., the FI-CGA-10D.

Indexed as

AgedAged, 80 and overCohort StudiesComorbidityFemaleFrail ElderlyGeriatric AssessmentHumansLength of StayMaleMortalityPrognosisProspective StudiesROC Curve

Identifiers

PMID27499310
PMCPMC12879213

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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.