Evidence map›Paper›PMID 37133796›Full record

ArticleAnnals of intensive care2023

The Clinical Frailty Scale for mortality prediction of old acutely admitted intensive care patients: a meta-analysis of individual patient-level data.

Raphael Romano Bruno, Bernhard Wernly, Sean M Bagshaw, Mark van den Boogaard, Jai N Darvall, Lina De Geer, Pablo Ruiz de Gopegui Miguelena, Daren K Heyland, David Hewitt, Aluko A Hope and 19 more

2 registry-linked trialsAbstract read
In one paragraph

Article in Annals of intensive care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing 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.

NCT06296381 recruitingnot on this mapstarted 2024, after this paper: background citation

Analysis of Peripheral Muscle Strength Measurement Methods in Healthy Individuals and Critical Patients: A Health Technology Assessment

TypeobservationalSponsorUniversity of PernambucoRan2024 to 2028Enrolled180ConditionsIntensive Care Unit, Muscle Strength
NCT07310667 enrolling by invitationnot on this mapstarted 2025, after this paper: background citation

Assessing the Relationship Between Frailty and Skeletal Muscle Thickness in Critically Ill Patients: A Prospective Observational Study.

Typeobservational_patient_registrySponsorAnkara Training and Research HospitalRan2025 to 2027Enrolled80ConditionsFraility, Nutrition Assessment, Ultrasound Evaluation, Critical IllnessArmsMuscle ultrasound
3 · Its place in the literature

Who cites it

52 citing papers in PubMed, 1 synthesis or guideline 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

29 authors.

Raphael Romano BrunoMedical Faculty, Department of Cardiology, Pulmonology and Vascular Medicine, Heinrich-Heine-University Duesseldorf, Moorenstraße 5, 40225, Duesseldorf, Germany.
Bernhard WernlyDepartment of Internal Medicine, General Hospital Oberndorf, Teaching Hospital of the Paracelsus Medical Private University, Paracelsusstraße 37, 5110, Oberndorf, Austria.
Sean M BagshawDepartment of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta, and Alberta Health Services, 2-124 Clinical Sciences Building, 8440 112Th ST, Edmonton, AB, T6G 2B7, Canada.
Mark van den BoogaardDepartment of Intensive Care Medicine, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands.
Jai N DarvallIntensive Care Unit and Department of Anaesthesia & Pain Management, The Royal Melbourne Hospital, Grattan Street, Parkville, VIC, 3050, Australia.
Lina De GeerDepartment of Anaesthesiology and Intensive Care, Linköping University Hospital, Linköping, Sweden.
Pablo Ruiz de Gopegui MiguelenaHospital Universitario Miguel Servet, Saragossa, Spain.
Daren K HeylandClinical Evaluation Research Unit, and Department of Critical Care Medicine, Queen's University, Kingston, ON, Canada.
David HewittGlasgow Royal Infirmary Intensive Care Unit, Glasgow, Scotland.
Aluko A HopeDivision of Pulmonary, Allergy, and Critical Care Medicine, Oregon Health and Science University, Portland, OR, USA.
Emilie LanglaisRéanimation Chirurgicale, CHU Rennes, Université Rennes 1, Rennes, France.
Pascale Le MaguetDépartement d'Anesthésie Réanimation, CHU Rennes, Rennes, France.
Carmel L MontgomeryDepartment of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta, and Alberta Health Services, 2-124 Clinical Sciences Building, 8440 112Th ST, Edmonton, AB, T6G 2B7, Canada.
Dimitrios PapageorgiouFaculty of Health and Caring Sciences Department of Nursing, University of West Attica (UWA) Athens, Egaleo, Greece.
Philippe SeguinRéanimation Chirurgicale, CHU Rennes, Université Rennes 1, Rennes, France.
Wytske W GeenseDepartment of Intensive Care Medicine, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands.
J Alberto Silva-ObregónDepartment of Intensive Care Medicine, Hospital Universitario de Guadalajara, Guadalajara, Spain.
Georg WolffMedical Faculty, Department of Cardiology, Pulmonology and Vascular Medicine, Heinrich-Heine-University Duesseldorf, Moorenstraße 5, 40225, Duesseldorf, Germany.
Amin PolzinMedical Faculty, Department of Cardiology, Pulmonology and Vascular Medicine, Heinrich-Heine-University Duesseldorf, Moorenstraße 5, 40225, Duesseldorf, Germany.
Lisa DannenbergMedical Faculty, Department of Cardiology, Pulmonology and Vascular Medicine, Heinrich-Heine-University Duesseldorf, Moorenstraße 5, 40225, Duesseldorf, Germany.
Malte KelmMedical Faculty, Department of Cardiology, Pulmonology and Vascular Medicine, Heinrich-Heine-University Duesseldorf, Moorenstraße 5, 40225, Duesseldorf, Germany.
Hans FlaattenDepartment of Clinical Medicine, Department of Anaesthesia and Intensive Care, University of Bergen, Haukeland University Hospital, Bergen, Norway.
Michael BeilDept. of Medical Intensive Care, Hadassah Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.
Marcus FranzClinic of Internal Medicine I, Department of Cardiology, Friedrich Schiller University, 07737, Jena, Germany.
Sigal SviriDepartment of Medical Intensive Care, Hadassah Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.
Susannah LeaverGeneral Intensive Care, St George's University Hospitals NHS Foundation Trust, London, UK.
Bertrand GuidetEquipe: Épidémiologie Hospitalière Qualité Et Organisation Des Soins, Sorbonne Universités, UPMC Univ Paris 06, INSERM, UMR_S 1136, Institut Pierre Louis d'Epidémiologie Et de Santé Publique, 75012, Paris, France.
Ariane BoumendilEquipe: Épidémiologie Hospitalière Qualité Et Organisation Des Soins, Sorbonne Universités, UPMC Univ Paris 06, INSERM, UMR_S 1136, Institut Pierre Louis d'Epidémiologie Et de Santé Publique, 75012, Paris, France.
Christian JungMedical Faculty, Department of Cardiology, Pulmonology and Vascular Medicine, Heinrich-Heine-University Duesseldorf, Moorenstraße 5, 40225, Duesseldorf, Germany. christian.jung@med.uni-duesseldorf.de.ORCID http://orcid.org/0000-0001-8325-250X

Funding

Cognitive Motor Interference Assessment for Improving Neurologic and Physical Disability Outcomes in Survivors of Severe Acute Respiratory Failure (CAMINANDO) Phase IIK01HL140279 · NHLBI · OREGON HEALTH & SCIENCE UNIVERSITY · PI HOPE, ALUKO A. · 2018 to 2022
$885k
NHLBI NIH HHS K01 HL140279
6 · The paper itself

Abstract

backgroundThis large-scale analysis pools individual data about the Clinical Frailty Scale (CFS) to predict outcome in the intensive care unit (ICU).

methodsA systematic search identified all clinical trials that used the CFS in the ICU (PubMed searched until 24th June 2020). All patients who were electively admitted were excluded. The primary outcome was ICU mortality. Regression models were estimated on the complete data set, and for missing data, multiple imputations were utilised. Cox models were adjusted for age, sex, and illness acuity score (SOFA, SAPS II or APACHE II).

results12 studies from 30 countries with anonymised individualised patient data were included (n = 23,989 patients). In the univariate analysis for all patients, being frail (CFS ≥ 5) was associated with an increased risk of ICU mortality, but not after adjustment. In older patients (≥ 65 years) there was an independent association with ICU mortality both in the complete case analysis (HR 1.34 (95% CI 1.25-1.44), p < 0.0001) and in the multiple imputation analysis (HR 1.35 (95% CI 1.26-1.45), p < 0.0001, adjusted for SOFA). In older patients, being vulnerable (CFS 4) alone did not significantly differ from being frail. After adjustment, a CFS of 4-5, 6, and ≥ 7 was associated with a significantly worse outcome compared to CFS of 1-3.

conclusionsBeing frail is associated with a significantly increased risk for ICU mortality in older patients, while being vulnerable alone did not significantly differ. New Frailty categories might reflect its "continuum" better and predict ICU outcome more accurately.

trial registrationOpen Science Framework (OSF: https://osf.io/8buwk/ ).

Indexed as

ElderlyFrailtyIndividual patient-level data meta-analysisIntensive care medicineOutcome predictionSystematic review

Identifiers

PMID37133796
PMCPMC10155148

What OpenQuestion holds

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Registered trials

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.