Evidence map›Paper›PMID 36980518›Full record

ReviewCancers2023

Application of the IPDfromKM-Shiny Method to Compare the Efficacy of Novel Treatments Aimed at the Same Disease Condition: A Report of 14 Analyses.

Andrea Messori, Vera Damuzzo, Melania Rivano, Luca Cancanelli, Lorenzo Di Spazio, Andrea Ossato, Marco Chiumente, Daniele Mengato

Full text readReview
In one paragraph

Review in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing 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.

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

15 citing papers in PubMed, 2 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

8 authors.

Andrea MessoriUnità di HTA, Regione Toscana, 50139 Firenze, Italy.ORCID 0000-0002-5829-107X
Vera DamuzzoDipartimento Politiche del Farmaco, Azienda ULSS 2 Marca Trevigiana, 31100 Treviso, Italy.
Melania RivanoFarmacia Ospedaliera, Ospedale Binaghi, 09121 Cagliari, Italy.ORCID 0000-0002-8541-539X
Luca CancanelliDipartimento Politiche del Farmaco, Azienda ULSS 2 Marca Trevigiana, 31100 Treviso, Italy.ORCID 0000-0002-6409-4195
Lorenzo Di SpazioFarmacia Ospedaliera Nord, Ospedale Santa Chiara di Trento, Azienda Provinciale per i Servizi Sanitari (APSS), 38122 Trento, Italy.
Andrea OssatoScuola di Specializzazione in Farmacia Ospedaliera, Università di Padova, 35128 Padova, Italy.ORCID 0000-0001-8984-4733
Marco ChiumenteSocietà Italiana di Farmacia Clinica e Terapia (SIFaCT), 10123 Torino, Italy.ORCID 0000-0002-0943-6746
Daniele MengatoFarmacia Ospedaliera, Azienda Ospedale Università di Padova, 35128 Padova, Italy.ORCID 0000-0003-1374-1505

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the area of evidence-based medicine, the IPDfromKM-Shiny method is an innovative method of survival analysis, midway between artificial intelligence and advanced statistics. Its main characteristic is that an original software investigates the Kaplan-Meier graphs of trials so that individual-patient data are reconstructed. These reconstructed patients represent a new form of original clinical material. The typical objective of investigations based on this method is to analyze the available evidence, especially in oncology, to perform indirect comparisons, and determine the place in therapy of individual agents. This review examined the most recent applications of the IPDfromKM-Shiny method, in which a new web-based software-published in 2021-was used. Reported here are 14 analyses, mostly focused on oncological treatments. Indirect comparisons were based on overall survival or progression free survival. Each of these analyses provided original information to compare treatments with one another and select the most appropriate depending on patient characteristics. These analyses can also be useful to assess equivalence from a regulatory viewpoint. All investigations stressed the importance of heterogeneity to better interpret the evidence generated by IPDfromKM-Shiny investigations. In conclusion, these investigations showed that the reconstruction of individual patient data through this online tool is a promising new method for analyzing trials based on survival endpoints. This new approach deserves further investigation, particularly in the area of indirect comparisons.

Indexed as

indirect comparisonsIPDfromKM-Shiny methodoverall survivalpatient data reconstructionprogression free survival

Identifiers

PMID36980518
PMCPMC10046165

What OpenQuestion holds

Textfull text, public
LicenceCC BY
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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.