Evidence map›Paper›PMID 31795949›Full record

ArticleBMC geriatrics2019

Description of frail older people profiles according to four screening tools applied in primary care settings: a cross sectional analysis.

Itziar Vergara, Maider Mateo-Abad, María Carmen Saucedo-Figueredo, Mónica Machón, Alonso Montiel-Luque, Kalliopi Vrotsou, María Antonia Nava Del Val, Ana Díez-Ruiz, Carolina Güell, Ander Matheu and 3 more

Abstract read
In one paragraph

Article in BMC geriatrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–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

11 citing papers in PubMed.

  1. Risk Profiles in Hospitalized Adults Based on Functional Capacity, Pressure Injury Risk, and Fall Risk: A Cluster and Multiple Correspondence Analysis.Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing · 2026
    Observational
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Frailty as a Predictor of Adverse Outcomes among Spanish Community-Dwelling Older Adults.International journal of environmental research and public health · 2022
    Article
  8. Article
  9. Article
  10. Observational
  11. Article
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.

Itziar VergaraUnidad de Investigación APOSIs Gipuzkoa, Osakidetza, Instituto de Investigación Sanitaria Biodonostia, 20014, Donostia-San Sebastian, Spain. ivergara@osakidetza.eus.ORCID 0000-0001-9671-7898
Maider Mateo-AbadUnidad de Investigación APOSIs Gipuzkoa, Osakidetza, Instituto de Investigación Sanitaria Biodonostia, 20014, Donostia-San Sebastian, Spain.
María Carmen Saucedo-FigueredoUnidad Gestión Clínica Los Boliches, Fuengirola, Distrito de Atención Primaria Costa del Sol, Málaga, Spain.
Mónica MachónUnidad de Investigación APOSIs Gipuzkoa, Osakidetza, Instituto de Investigación Sanitaria Biodonostia, 20014, Donostia-San Sebastian, Spain.
Alonso Montiel-LuqueUnidad Gestión Clínica San Miguel, Torremolinos. Distrito de Atención Primaria Costa del Sol, Málaga, Spain.
Kalliopi VrotsouUnidad de Investigación APOSIs Gipuzkoa, Osakidetza, Instituto de Investigación Sanitaria Biodonostia, 20014, Donostia-San Sebastian, Spain.
María Antonia Nava Del ValUnidad Gestión Clínica Las Albarizas, Marbella, Distrito de Atención Primaria Costa del Sol, Málaga, Spain.
Ana Díez-RuizInstituto Biodonostia, Donostia-San Sebastian, Spain.
Carolina GüellUnidad de Investigación APOSIs Gipuzkoa, Osakidetza, Instituto de Investigación Sanitaria Biodonostia, 20014, Donostia-San Sebastian, Spain.
Ander MatheuGrupo de Oncología Celular, Instituto Biodonostia, San Sebastián, Spain; IKERBASQUE, Fundación Vasca para la Ciencia, Bilbao, Spain; CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Bilbao, Spain.
Antonio BuenoCentro de Salud Beraun, OSI Donostialdea, Osakidetza, Errenteria, Spain.
Jazmina NúñezCentro de Salud Beraun, OSI Donostialdea, Osakidetza, Errenteria, Spain.
Francisco Rivas-RuizRed de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRegarding the health care of older populations, WHO recommends shifting from disease-driven attention models towards a personalized, integrated and continuous care aimed to the maintenance and enhancement of functional capacities. Impairments in the construct of functional intrinsic capacity have been understood as the condition of frailty or vulnerability. No consensus has been yet reached regarding which tools are the most suitable for screening this kind of patients in primary care settings. Tools based on the measurement of functional performance such as Timed up and go test (TUG), Short Physical Performance battery (SPPB), self-completed questionnaires like Tilburg Frailty Indicator (TFI) and clinical judgement, as the Gerontopole Frailty Scale (GFS) may be adequate. The objective of this work is to describe and compare characteristics of community-dwelling individuals identified as vulnerable or frail by four tools applied in primary care settings.

methodsCross sectional analysis developed in primary care services in two regions of Spain. Community-dwelling independent individuals aged 70 or more willing to participate were recruited and data was collected via face-to-face interviews. Frailty was assessed by TUG, SPPB, TFI and GFST. Also socio-demographic characteristics, lifestyle habits and health status data (comorbidities, polypharmacy, self-perceived health), were collected. Multiple correspondence analysis (MCA) and cluster analysis were used to identify groups of individuals with similar characteristics.

resultsEight hundred sixty-five individuals were recruited, 53% women, with a mean age of 78 years. Four clusters of participants emerge. Cluster 1 (N = 263) contained patients categorized as robust by most of the studied tools, whereas clusters 2 (N = 199), 3 (N = 183) and 4 (N = 220) grouped patients classified as frail or vulnerable by at least one of the tools. Significant differences were found between clusters.

conclusionsThe assessed tools identify different profiles of patients according to their theoretical construct of frailty. There is a group of patients that are identified by TUG and SPPB but not by GFS or TFI. These tools may be useful in primary care settings for the implementation of a function- driven clinical care of older patients.

Indexed as

Primary Health CareAgedAged, 80 and overCross-Sectional StudiesFemaleFrail ElderlyFrailtyGeriatric AssessmentHealth StatusHumansIndependent LivingMaleMass ScreeningMotor ActivityPostural BalanceSpainCommunityFrailtyPrimary careScreening

Identifiers

PMID31795949
PMCPMC6892171

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.