Evidence map›Paper›PMID 41682008›Full record

ArticleCancers2026

Real-World Treatment Patterns and Survival in Patients with Advanced Non-Small Cell Lung Cancer: An Italian Retrospective Cohort Study.

Angelo Delmonte, Nicola Gentili, Andrea Roncadori, Roberta Maltoni, Valentina Danesi, Pooja Hindocha, Cátia Leal, Stavros Oikonomou, Marta Mella, Sarah Lay-Flurrie and 6 more

Abstract read
In one paragraph

Article in Cancers, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

16 authors.

Angelo DelmonteDepartment of Medical Oncology, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", 47014 Meldola, Italy.
Nicola GentiliOutcome Research, Healthcare Administration, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", 47014 Meldola, Italy.ORCID 0000-0002-0066-9172
Andrea RoncadoriOutcome Research, Healthcare Administration, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", 47014 Meldola, Italy.ORCID 0000-0002-0356-9273
Roberta MaltoniOutcome Research, Healthcare Administration, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", 47014 Meldola, Italy.ORCID 0000-0003-0366-792X
Valentina DanesiOutcome Research, Healthcare Administration, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", 47014 Meldola, Italy.ORCID 0000-0001-9261-6467
Pooja HindochaIQVIA Ltd., London W2 1AF, UK.
Cátia LealIQVIA Ltd., 2740-266 Porto Salvo, Portugal.
Stavros OikonomouIQVIA Ltd., 1303 Sofia, Bulgaria.ORCID 0009-0002-4076-0760
Marta MellaIQVIA Ltd., 20124 Milan, Italy.ORCID 0009-0006-9858-0120
Sarah Lay-FlurrieIQVIA Ltd., London W2 1AF, UK.
Gabrielle EmanuelBristol Myers Squibb, Uxbridge UB8 1DH, UK.
Caroline RaultData Gnosis, 35000 Rennes, France.
Mrudula B GlassbergBristol Myers Squibb, Madison, NJ 07940, USA.
Adam LeeBristol Myers Squibb, Uxbridge UB8 1DH, UK.ORCID 0000-0001-8834-1296
Yong YuanBristol Myers Squibb, Princeton, NJ 08540, USA.
Ilaria MassaOutcome Research, Healthcare Administration, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", 47014 Meldola, Italy.ORCID 0000-0003-1388-3175

Funding

Bristol Myers Squibb N/A
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Italylocally advancedmetastaticnon-small-cell lung cancer (NSCLC)Onco-Optimiseoverall survivalprogression-free survivalreal-world evidencetreatment patterns

Identifiers

PMID41682008
PMCPMC12897191

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.