Evidence map›Paper›PMID 34768517›Full record

ArticleJournal of clinical medicine2021

Predictive Value of Baseline [18F]FDG PET/CT for Response to Systemic Therapy in Patients with Advanced Melanoma.

Virginia Liberini, Marco Rubatto, Riccardo Mimmo, Roberto Passera, Francesco Ceci, Paolo Fava, Luca Tonella, Giulia Polverari, Adriana Lesca, Marilena Bellò and 4 more

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

14 authors.

Virginia LiberiniDepartment of Medical Science, Division of Nuclear Medicine, University of Turin, 10126 Torino, Italy.ORCID 0000-0001-9416-6965
Marco RubattoDepartment of Medical Sciences, Section of Dermatology, University of Turin, C.so Dogliotti, 10126 Torino, Italy.
Riccardo MimmoDepartment of Medical Science, University of Turin, 10126 Torino, Italy.
Roberto PasseraDepartment of Medical Science, Division of Nuclear Medicine, University of Turin, 10126 Torino, Italy.ORCID 0000-0003-3372-2248
Francesco CeciDivision of Nuclear Medicine, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy.ORCID 0000-0001-9785-5248
Paolo FavaDepartment of Medical Sciences, Section of Dermatology, University of Turin, C.so Dogliotti, 10126 Torino, Italy.
Luca TonellaDepartment of Medical Sciences, Section of Dermatology, University of Turin, C.so Dogliotti, 10126 Torino, Italy.ORCID 0000-0001-6790-554X
Giulia PolverariDepartment of Medical Science, Division of Nuclear Medicine, University of Turin, 10126 Torino, Italy.
Adriana LescaDepartment of Medical Science, Division of Nuclear Medicine, University of Turin, 10126 Torino, Italy.
Marilena BellòDepartment of Medical Science, Division of Nuclear Medicine, University of Turin, 10126 Torino, Italy.
Vincenzo ArenaPET Center, Affidea IRMET, 10135 Torino, Italy.
Simone RiberoDepartment of Medical Sciences, Section of Dermatology, University of Turin, C.so Dogliotti, 10126 Torino, Italy.
Pietro QuaglinoDepartment of Medical Sciences, Section of Dermatology, University of Turin, C.so Dogliotti, 10126 Torino, Italy.
Désirée DeandreisDepartment of Medical Science, Division of Nuclear Medicine, University of Turin, 10126 Torino, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimTo evaluate the association between baseline [18F]FDG-PET/CT tumor burden parameters and disease progression rate after first-line target therapy or immunotherapy in advanced melanoma patients. MATERIALS AND

methodsForty four melanoma patients, who underwent [18F]FDG-PET/CT before first-line target therapy (28/44) or immunotherapy (16/44), were retrospectively analyzed. Whole-body and per-district metabolic tumor volume (MTV) and total lesion glycolysis (TLG) were calculated. Therapy response was assessed according to RECIST 1.1 on CT scan at 3 (early) and 12 (late) months. PET parameters were compared using the Mann-Whitney test. Optimal cut-offs for predicting progression were defined using the ROC curve. PFS and OS were studied using Kaplan-Meier analysis.

resultsMedian (IQR) MTVwb and TLGwb were 13.1 mL and 72.4, respectively. Non-responder patients were 38/44, 26/28 and 12/16 at early evaluation, and 33/44, 21/28 and 12/16 at late evaluation in the whole-cohort, target, and immunotherapy subgroup, respectively. At late evaluation, MTVbone and TLGbone were higher in non-responders compared to responder patients (all

conclusionsHigher values of whole-body and bone metabolic parameters were correlated with poorer outcome, while higher values of whole-body, lymph node and soft tissue metabolic parameters were correlated with OS.

Indexed as

[18F]FDG PET/CTBRAFCTLA-4immune checkpoint inhibitorsimmunotherapymelanomaMETPD-1PD-L1target therapy

Identifiers

PMID34768517
PMCPMC8584809

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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.