Evidence map›Paper›PMID 41170896›Full record

Observational studyAnnals of medicine2025

Comparison of the predictive performance of Cumulative Illness Rating Scale, Charlson Comorbidity Index and COMCOLD Index for moderate-to-severe exacerbations in elderly subjects with chronic obstructive pulmonary disease.

Edoardo Pirera, Domenico Di Raimondo, Lucio D'Anna, Riccardo De Rosa, Martina Profita, Sergio Ferrantelli, Davide Paolo Bernasconi, Antonino Tuttolomondo

Abstract readObservational StudyComparative Study
In one paragraph

Observational study in Annals of medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Observational
  2. Review
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

8 authors.

Edoardo PireraInternal Medicine and Stroke Care ward, Department of Promoting Health, Maternal-Infant. Excellence and Internal and Specialized Medicine (Promise) G. D'Alessandro, University of Palermo, Palermo, Italy.ORCID 0000-0003-3011-7405
Domenico Di RaimondoInternal Medicine and Stroke Care ward, Department of Promoting Health, Maternal-Infant. Excellence and Internal and Specialized Medicine (Promise) G. D'Alessandro, University of Palermo, Palermo, Italy.ORCID 0000-0002-4529-3703
Lucio D'AnnaDepartment of Stroke and Neuroscience, Charing Cross Hospital, Imperial College London NHS Healthcare Trust, London, UK.
Riccardo De RosaInternal Medicine and Stroke Care ward, Department of Promoting Health, Maternal-Infant. Excellence and Internal and Specialized Medicine (Promise) G. D'Alessandro, University of Palermo, Palermo, Italy.
Martina ProfitaInternal Medicine and Stroke Care ward, Department of Promoting Health, Maternal-Infant. Excellence and Internal and Specialized Medicine (Promise) G. D'Alessandro, University of Palermo, Palermo, Italy.
Sergio FerrantelliInternal Medicine and Stroke Care ward, Department of Promoting Health, Maternal-Infant. Excellence and Internal and Specialized Medicine (Promise) G. D'Alessandro, University of Palermo, Palermo, Italy.
Davide Paolo BernasconiBicocca Bioinformatics Biostatistics and Bioimaging Center, School of Medicine and Surgery, University of Milano-Bicocca, Department of Clinical Research and Innovation, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Antonino TuttolomondoInternal Medicine and Stroke Care ward, Department of Promoting Health, Maternal-Infant. Excellence and Internal and Specialized Medicine (Promise) G. D'Alessandro, University of Palermo, Palermo, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveChronic Obstructive Pulmonary Disease (COPD) is frequently associated with multiple comorbidities that influence clinical outcomes. This study aimed to compare the predictive performance of the Cumulative Illness Rating Scale (CIRS) with the Charlson Comorbidity Index (CCI) and COMCOLD Index for moderate-to-severe COPD exacerbations. MATERIALS AND

methodsWe conducted a prospective observational study involving 200 COPD patients followed for 52 weeks. CIRS indices (Total Score, Severity Index, Comorbidity Index), CCI, and COMCOLD were calculated at baseline. The primary outcome was time-to-first moderate-to-severe exacerbation. Cox regression analyses and time-dependent receiver operating characteristic curves were used to assess prognostic performance at 12, 24, and 52 weeks.

resultsDuring follow-up, 66 patients (33%) experienced at least one moderate-to-severe exacerbation. All CIRS indices demonstrated significant correlations with respiratory parameters and symptom burden. In crude models, CIRS indices were significantly associated with exacerbation risk (CIRS-TS: HR 1.11, 95%CI 1.06-1.16; CIRS-SI: HR 1.16, 95%CI 1.09-1.23; CIRS-CI: HR 1.37, 95%CI 1.20-1.56; all

conclusionCIRS provides superior prognostic accuracy compared to established comorbidity indices in identifying COPD patients at increased risk of exacerbations. These findings highlight the clinical relevance of incorporating a comprehensive, severity-weighted comorbidity assessment in COPD management, supporting the concept of COPD as a complex, multisystem disorder requiring an integrated approach to care.

Indexed as

Pulmonary Disease, Chronic ObstructiveSeverity of Illness IndexAgedAged, 80 and overComorbidityDisease ProgressionFemaleHumansMaleMiddle AgedPredictive Value of TestsPrognosisProspective StudiesROC Curveacute exacerbation of COPDCharlson Comorbidity IndexCIRSCOMCOLDComorbidityCOPDCumulative Illness Rating Scale

Identifiers

PMID41170896
PMCPMC12581735

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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.