Evidence map›Paper›PMID 31231609›Full record

ReviewFrontiers in oncology2019

Analysis of Survival Curves: Statistical Methods Accounting for the Presence of Long-Term Survivors.

Vera Damuzzo, Laura Agnoletto, Luca Leonardi, Marco Chiumente, Daniele Mengato, Andrea Messori

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 4 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

16 citing papers in PubMed, 4 syntheses or guidelines 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

6 authors.

Vera DamuzzoDepartment of Pharmaceutical and Pharmacological Sciences, School of Hospital Pharmacy, University of Padua, Padua, Italy.
Laura AgnolettoHospital Pharmacy, Hospital of Rovigo, AULSS 5 Polesana, Rovigo, Italy.
Luca LeonardiDepartment of Pharmacy, Post Graduate School of Hospital Pharmacy, University of Pisa, Pisa, Italy.
Marco ChiumenteScientific Direction, Italian Society for Clinical Pharmacy and Therapeutics, Milan, Italy.
Daniele MengatoHospital Pharmacy, Bolzano Central Hospital, Bolzano, Italy.
Andrea MessoriHTA Unit, Regional Health Service, Florence, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Some anti-cancer treatments (e. g., immunotherapies) determine, on the long term, a durable survival in a small percentage of treated patients; in graphical terms, long-term survivors typically give rise to a plateau in the right tail of the survival curve. In analysing these datasets, medians are unable to recognize the presence of this plateau. To account for long-term survivors, both value-frameworks of ASCO and ESMO have incorporated

Indexed as

adultarea under the curveKaplan-Meier estimatormedian survivalsurvivalsurvival plateau

Identifiers

PMID31231609
PMCPMC6558210

What OpenQuestion holds

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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.