Evidence map›Paper›PMID 29282274›Full record

ArticleBMJ open2017

Developing and validating a novel multisource comorbidity score from administrative data: a large population-based cohort study from Italy.

Giovanni Corrao, Federico Rea, Mirko Di Martino, Rossana De Palma, Salvatore Scondotto, Danilo Fusco, Adele Lallo, Laura Maria Beatrice Belotti, Mauro Ferrante, Sebastiano Pollina Addario and 3 more

Registry-linked trialAbstract readValidation Study
In one paragraph

Article in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04352556 (SARS-CoV-2 Infection in Patients With Hematological Malignancies), which is not on this map. Cited by 63 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 2 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.

NCT04352556 unknown statusnot on this mapstarted 2020, after this paper: background citation

SARS-CoV-2 Infection in Patients With Hematological Malignancies: the Italian Hematology Alliance

TypeobservationalSponsorOspedale di Circolo - Fondazione MacchiRan2020 to 2022Enrolled250ConditionsSARS-CoV-2 Infection, Hematological Malignancies
3 · Its place in the literature

Who cites it

63 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. How to assess multimorbidity: a systematic review.Frontiers in public health · 2025
    Pooled it
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  8. State sequence analysis for a deeper understanding of treatment adherence patterns in fragility fracture patients.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026
    Observational
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3 more citing papers are in PubMed but not listed here.

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.

Giovanni CorraoNational Centre for Healthcare Research & Pharmacoepidemiology, at the University of Milano-Bicocca, Milan, Italy.
Federico ReaNational Centre for Healthcare Research & Pharmacoepidemiology, at the University of Milano-Bicocca, Milan, Italy.
Mirko Di MartinoDepartment of Epidemiology, Lazio Regional Health Service, Rome, Italy.
Rossana De PalmaAuthority for Healthcare and Welfare, Emilia-Romagna Regional Health Service, Bologna, Italy.
Salvatore ScondottoNational Centre for Healthcare Research & Pharmacoepidemiology, at the University of Milano-Bicocca, Milan, Italy.
Danilo FuscoDepartment of Epidemiology, Lazio Regional Health Service, Rome, Italy.
Adele LalloDepartment of Epidemiology, Lazio Regional Health Service, Rome, Italy.
Laura Maria Beatrice BelottiAuthority for Healthcare and Welfare, Emilia-Romagna Regional Health Service, Bologna, Italy.
Mauro FerranteDepartment of Culture and Society, University of Palermo, Palermo, Italy.
Sebastiano Pollina AddarioNational Centre for Healthcare Research & Pharmacoepidemiology, at the University of Milano-Bicocca, Milan, Italy.
Luca MerlinoNational Centre for Healthcare Research & Pharmacoepidemiology, at the University of Milano-Bicocca, Milan, Italy.
Giuseppe ManciaUniversity of Milano-Bicocca, (Emeritus Professor), Milan, Italy.
Flavia CarleNational Centre for Healthcare Research & Pharmacoepidemiology, at the University of Milano-Bicocca, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop and validate a novel comorbidity score (multisource comorbidity score (MCS)) predictive of mortality, hospital admissions and healthcare costs using multiple source information from the administrative Italian National Health System (NHS) databases.

methodsAn index of 34 variables (measured from inpatient diagnoses and outpatient drug prescriptions within 2 years before baseline) independently predicting 1-year mortality in a sample of 500 000 individuals aged 50 years or older randomly selected from the NHS beneficiaries of the Italian region of Lombardy (training set) was developed. The corresponding weights were assigned from the regression coefficients of a Weibull survival model. MCS performance was evaluated by using an internal (ie, another sample of 500 000 NHS beneficiaries from Lombardy) and three external (each consisting of 500 000 NHS beneficiaries from Emilia-Romagna, Lazio and Sicily) validation sets. Discriminant power and net reclassification improvement were used to compare MCS performance with that of other comorbidity scores. MCS ability to predict secondary health outcomes (ie, hospital admissions and costs) was also investigated.

resultsPrimary and secondary outcomes progressively increased with increasing MCS value. MCS improved the net 1-year mortality reclassification from 27% (with respect to the Chronic Disease Score) to 69% (with respect to the Elixhauser Index). MCS discrimination performance was similar in the four regions of Italy we tested, the area under the receiver operating characteristic curves (95% CI) being 0.78 (0.77 to 0.79) in Lombardy, 0.78 (0.77 to 0.79) in Emilia-Romagna, 0.77 (0.76 to 0.78) in Lazio and 0.78 (0.77 to 0.79) in Sicily.

conclusionMCS seems better than conventional scores for predicting health outcomes, at least in the general population from Italy. This may offer an improved tool for risk adjustment, policy planning and identifying patients in need of a focused treatment approach in the everyday medical practice.

Indexed as

AgedAged, 80 and overCohort StudiesComorbidityDatabases, FactualDrug PrescriptionsFemaleHealth Care CostsHospitalizationHospital MortalityHumansItalyKaplan-Meier EstimateMaleMiddle AgedRegression Analysisadministrative databasecomorbidityprognostic scorerecord linkage

Identifiers

PMID29282274
PMCPMC5770918

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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.