Evidence map›Paper›PMID 38665620›Full record

ArticleThe Lancet regional health. Europe2024

Comparison of baseline patient characteristics in Italian oncology drug monitoring registries and clinical trials: a real-world cross-sectional study.

Maria Lucia Iacovino, Simone Celant, Luca Tomassini, Laura Arenare, Andrea Caglio, Andrea Canciello, Flavio Salerno, Pier Paolo Olimpieri, Susanna Di Segni, Antonella Sferrazza and 9 more

Erratum issuedAbstract read
In one paragraph

Article in The Lancet regional health. Europe, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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.

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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Global & regional health technology assessment
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors.

Maria Lucia IacovinoNational Cancer Institute, IRCCS Fondazione G.Pascale, Naples, Italy.
Simone CelantItalian Medicines Agency, Rome, Italy.
Luca TomassiniItalian Medicines Agency, Rome, Italy.
Laura ArenareNational Cancer Institute, IRCCS Fondazione G.Pascale, Naples, Italy.
Andrea CaglioDepartment of Oncology, University, Ordine Mauriziano Hospital Umberto I, Turin, Italy.
Andrea CancielloNational Cancer Institute, IRCCS Fondazione G.Pascale, Naples, Italy.
Flavio SalernoDepartment of Oncology, University, Ordine Mauriziano Hospital Umberto I, Turin, Italy.
Pier Paolo OlimpieriItalian Medicines Agency, Rome, Italy.
Susanna Di SegniItalian Medicines Agency, Rome, Italy.
Antonella SferrazzaItalian Medicines Agency, Rome, Italy.
Maria Carmela PiccirilloNational Cancer Institute, IRCCS Fondazione G.Pascale, Naples, Italy.
Giordano Domenico BerettaMedical Oncology, Hospital, Pescara, Italy.
Carmine PintoMedical Oncology, Comprehensive Cancer Centre, AUSL-IRCCS di Reggio Emilia, Italy.
Livio BlasiMedical Oncology, Civic Hospital Cristina Benfratelli, Palermo, Italy.
Saverio CinieriMedical Oncology and Breast Unit, Perrino Hospital, Brindisi, Italy.
Luigi CavannaMedical Oncology and Hematology, Civil Hospital, Piacenza, Italy.
Massimo Di MaioDepartment of Oncology, University of Turin, AOU Città della Salute e della Scienza di Torino, Turin, Italy.
Pierluigi RussoItalian Medicines Agency, Rome, Italy.
Francesco PerroneNational Cancer Institute, IRCCS Fondazione G.Pascale, Naples, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Generalizability of registrative clinical trials to real-world clinical practice is influenced by comparability of patients in the two settings. We compared characteristics of cancer patients in registrative trials with real-world clinical practice in Italy. Methods: Data on age, sex and performance status (PS) were derived from web-based monitoring registries developed by Italian Medicines Agency (AIFA) and corresponding registrative trials reported in the European Public Assessment Reports (EPAR) of European Medicines Agency (EMA). Weighted means were calculated in registries and trials and differences were described. Multivariate analysis was performed using Principal Component Analysis and Cluster Analysis. Findings: From January, 2013 to April, 2023, 419,461 unique pairs of patients and therapeutic indications were recorded in 129 AIFA registries. Within 140 related trials, 87,452 patients had been enrolled. Median age and rate of elderly (≥65 years old) patients were higher in monitoring registries than in clinical trials [mean difference of median age 5.3 years, p < 0.001; mean difference of elderly rate 17.17% (95% CI 1.06, 1.48)]. Overall, rate of female patients was not different between registries and trials [mean difference -0.55% (95% CI -1.06, -0.05)]. Mean rate of patients with deteriorated PS was low both in trials (3.1%) and in registries (4.3%) with a mean difference of 1.27% (95% CI 1.06, 1.48). Two clusters were identified with multivariate analysis: one including more registries (higher median age and elderly rate, lower female rate, higher rate of deteriorated patients), the other more trials (lower median age and elderly rate, higher female rate, lower rate of deteriorated patients). Interpretation: This study supports that cancer patients enrolled in trials do only partially represent those who have been treated in Italy in clinical practice. Inclusiveness of registrative trials should be increased to ensure generalizability of results to real-world population. Funding: Partially supported by Italian Ministry of Health.

Indexed as

AgeAnticancer treatmentsGenderGeneralizabilityPerformance statusReal-world evidenceRegistrative clinical trials

Identifiers

PMID38665620
PMCPMC11041834

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.