Evidence map›Paper›PMID 21076879›Full record

ArticleAge (Dordrecht, Netherlands)2011

Angiotensin-converting enzyme (ACE) genotypes and disability in hospitalized older patients.

Davide Seripa, Giulia Paroni, Maria G Matera, Carolina Gravina, Carlo Scarcelli, Michele Corritore, Luigi P D'Ambrosio, Maria Urbano, Grazia D'Onofrio, Massimiliano Copetti and 3 more

Abstract read
In one paragraph

Article in Age (Dordrecht, Netherlands), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 39% 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

3 citing papers in PubMed, 15 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

13 authors at 3 institutions in 2 countries.

Davide SeripaDepartment of Medical Sciences, Geriatric Unit and Gerontology-Geriatrics Research Laboratory, IRCCS Casa Sollievo della Sofferenza, Padre Pio da Pietrelcina Foundation, San Giovanni Rotondo, Foggia, Italy.
Giulia Paroni
Maria G Matera
Carolina Gravina
Carlo Scarcelli
Michele Corritore
Luigi P D'Ambrosio
Maria Urbano
Grazia D'Onofrio
Massimiliano Copetti
Patrick G Kehoe
Francesco Panza
Alberto Pilotto
Casa Sollievo della Sofferenza · ITIstituti di Ricovero e Cura a Carattere Scientifico · ITUniversity of Bristol · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The association between angiotensin-converting enzyme (ACE) genotypes and functional decline in older adults remains controversial. To assess if ACE gene variations influences functional abilities at older age, the present study explored the association between the common ACE insertion/deletion (I/D) polymorphism and disability measured with activities of daily living (ADL) in hospitalized older patients. We analyzed the frequency of the ACE genotypes (I/I, I/D, and D/D) in a population of 2,128 hospitalized older patients divided according to presence or absence of ADL disability. Logistic regression analysis adjusted for possible confounding factors, identified an association between the I/I genotype with ADL disability (OR=1.54, 95% CI 1.04-2.29). This association was significant in men (OR=2.01, 95% CI 1.07-3.78), but not in women (OR=1.36, 95% CI 0.82-2.25). These results suggested a possible role of the ACE polymorphism as a genetic marker for ADL disability in hospitalized older patients.

Indexed as

Activities of Daily LivingPersons with DisabilitiesAgedAged, 80 and overCohort StudiesDisability EvaluationFemaleGenetic MarkersGenotypeGeriatric AssessmentHospitalizationHumansMalePeptidyl-Dipeptidase APolymorphism, GeneticGenetic MarkersPeptidyl-Dipeptidase A

Identifiers

PMID21076879
PMCPMC3168594
OpenAlexW1970840234

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.