Evidence map›Paper›PMID 37607996›Full record

ArticleEuropean geriatric medicine2024

Which comorbidity index is more appropriate for geriatric patients from the frailty perspective?

Merve Hafızoğlu, Ezgi Odacı Cömertoğlu, Yelda Öztürk, Zeynep Kahyaoğlu, Çağatay Çavuşoglu, Cafer Balcı, Meltem Gülhan Halil, Özlem Erden Aki, Mustafa Cankurtaran, Burcu Balam Doğu

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Article in European geriatric medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Pooled it
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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

10 authors.

Merve HafızoğluDepartment of Internal Medicine, Division of Geriatrics Medicine, Faculty of Medicine, Hacettepe University Medical School, Altındag, Ankara, Turkey. mervehafizoglu@gmail.com.ORCID 0000-0002-5401-223X
Ezgi Odacı CömertoğluDepartment of Internal Medicine, Faculty of Medicine, Hacettepe University, Ankara, Turkey.
Yelda ÖztürkDepartment of Geriatrics, Eskisehir City Hospital, Health Sciences University, Eskisehir, Turkey.
Zeynep KahyaoğluDepartment of Internal Medicine, Division of Geriatrics Medicine, Faculty of Medicine, Hacettepe University Medical School, Altındag, Ankara, Turkey.
Çağatay ÇavuşogluDepartment of Geriatrics Mehmet, Akif Inan Training and Research Hospital, Health Sciences University, Sanliurfa, Turkey.
Cafer BalcıDepartment of Internal Medicine, Division of Geriatrics Medicine, Faculty of Medicine, Hacettepe University Medical School, Altındag, Ankara, Turkey.
Meltem Gülhan HalilDepartment of Internal Medicine, Division of Geriatrics Medicine, Faculty of Medicine, Hacettepe University Medical School, Altındag, Ankara, Turkey.
Özlem Erden AkiDepartments of Psychiatry, Faculty of Medicine, Hacettepe University, Ankara, Turkey.
Mustafa CankurtaranDepartment of Internal Medicine, Division of Geriatrics Medicine, Faculty of Medicine, Hacettepe University Medical School, Altındag, Ankara, Turkey.
Burcu Balam DoğuDepartment of Internal Medicine, Division of Geriatrics Medicine, Faculty of Medicine, Hacettepe University Medical School, Altındag, Ankara, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study examined the relationship between comorbidity indices and physical, psychologic and social frailty and 1-year mortality.

methodsA cross-sectional analysis was conducted with 136 community-dwelling older adults. The relationship of 4 comorbidity indices (CIRS-G, ACCI, GIC, ICED) with 3 different frailty scales (FRAIL, CFS, TFI) was examined.

resultsThe participants' median age was 72 years (65-90); 62% of the participants were female. Overall, 15.4% of the participants were living with frailty according to the FRAIL scale, 27.9% of them according to the CFS, 58.8% of them according to the TFI, 47.7% of them living with psychological frailty, and 28.6% of them living with social frailty. There were significant and moderate correlations between CIRS-G and FRAIL, CFS and TFI total scores, TFI-Psychological scores and TFI-Social scores (respectively; p < 0.001, r = 0.530; p < 0.001, r = 0.471; p < 0.001, r = 0.535; p < 0.001, r = 0.402; p = 0.016 r = 0.206). AUC for CIRS-G was calculated as 0.716 among comorbidity indices in predicting the presence of frailty according to the FRAIL scale (p = 0.002, 95%CI [0.60-0.82]), 0.765 according to the CFS (p < 0.001, 95%CI [0.66-0.86]), 0.746 according to the TFI (p < 0.001, 95%CI [0.66-0.82]).

conclusionThe CIRS-G index was found to be superior to other indices in predicting the presence of frailty of comorbidity indices, and only GIC scores showed significant results in predicting mortality. However, it would not be the right approach to recommend a single comorbidity index when evaluating older adults.

Indexed as

FrailtyAgedComorbidityCross-Sectional StudiesFemaleFrail ElderlyGeriatric AssessmentHumansMaleComorbidity indicesFrailtyOlder adultsPhysical frailtyPsychological frailtySocial frailty

Identifiers

PMID37607996

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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.