Evidence map›Paper›PMID 38649279›Full record

ArticleJournal for immunotherapy of cancer2024

Total metabolic tumor volume on

Pierre Tricarico, David Chardin, Nicolas Martin, Sara Contu, Florent Hugonnet, Josiane Otto, Olivier Humbert

Erratum issued 2 registry-linked trialsOpen access · goldAbstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to 2 registered trials, which are not on this map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
10.5field-weighted citation impact, top 1% of its field
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.

NCT03584334 nacompletednot on this map

Cohort Study Evaluating 18FDG PET for Early Identification of Tumor Exhaust for Immunotherapy in Patients With Locally Advanced or Metastatic Non-Small Cell Bronchopulmonary Carcinoma or Melanoma

TypeinterventionalSponsorCentre Antoine LacassagneRan2019 to 2024Enrolled100ConditionsNon-Small Cell Bronchopulmonary Carcinoma or MelanomaArms18FDG PET
NCT07203495 active not recruitingnot on this mapstarted 2025, after this paper: background citation

An Observational Clinical Study on the Spatiotemporal Changes and Prognostic Value of the 18F-FDG PET Neuro-Metabolic Network

Typeobservational_patient_registrySponsorThe First Affiliated Hospital of Zhengzhou UniversityRan2025 to 2027Enrolled200ConditionsLung Diseases, Endocrine Diseases, Gastrointestinal Diseases
3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Malignancy Detection Rates of [Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026
    Trial
  3. Article
  4. Applications of artificial intelligence in nuclear medicine.Zeitschrift fur medizinische Physik · 2026
    Review
  5. Brain Metabolic Activity Measured by [Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026
    Article
  6. Dual-time-point [EJNMMI research · 2026
    Article
  7. Prognostic value of [BMC medical imaging · 2026
    Article
  8. Prognostic value of TMTV and Dmax calculated fromEuropean journal of nuclear medicine and molecular imaging · 2026
    Article
  9. Article
  10. CAR T-cell therapy induced pseudoprogression.Frontiers in immunology · 2026
    Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Circulating Tumor DNA and [Diagnostics (Basel, Switzerland) · 2025
    Article
  16. Review
  17. Article
  18. Review
  19. Review
  20. The role of baselineTherapeutic advances in medical oncology · 2024
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 2 countries.

Pierre TricaricoDepartment of Nuclear Medicine, Centre Antoine-Lacassagne, Nice, France pierretricarico@gmail.com.ORCID 0009-0008-0761-6795
David ChardinDepartment of Nuclear Medicine, Centre Antoine-Lacassagne, Nice, France.
Nicolas MartinDepartment of Medical Oncology, Centre Antoine-Lacassagne, Nice, France.ORCID 0000-0001-9084-9435
Sara ContuDepartment of Biostatistics, Centre Antoine-Lacassagne, Nice, France.ORCID 0000-0001-9235-9675
Florent HugonnetDepartment of Nuclear Medicine, Centre Hospitalier Princesse Grâce, Monaco.
Josiane OttoDepartment of Medical Oncology, Centre Antoine-Lacassagne, Nice, France.
Olivier HumbertDepartment of Nuclear Medicine, Centre Antoine-Lacassagne, Nice, France.
Centre Antoine Lacassagne · FRCentre National de la Recherche Scientifique · FRPrincess Grace Hospital Centre · MC

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeBecause of atypical response imaging patterns in patients with metastatic non-small cell lung cancer (NSCLC) treated with immune checkpoint inhibitors (ICPIs), new biomarkers are needed for a better monitoring of treatment efficacy. The aim of this prospective study was to evaluate the prognostic value of volume-derived positron-emission tomography (PET) parameters on baseline and follow-up

methodsPatients with metastatic NSCLC were included in two different single-center prospective trials.

results110 patients were prospectively included. On PET

conclusionThe absolute value of residual metabolic tumor volume, assessed 6-8 weeks after the start of ICPI, is an optimal and independent prognostic measure, exceeding and complementing conventional PERCIST criteria. Oncologists should consider it in patients with first tumor progression according to PERCIST criteria, as it helps identify patients who benefit from continued treatment. TRIAL REGISTRATION NUMBER: 2018-A02116-49; NCT03584334.

Indexed as

Fluorodeoxyglucose F18ImmunotherapyLung NeoplasmsPositron Emission Tomography Computed TomographyTumor BurdenAdultAgedAged, 80 and overCarcinoma, Non-Small-Cell LungFemaleHumansImmune Checkpoint InhibitorsMaleMiddle AgedNeoplasm MetastasisProspective StudiesFluorodeoxyglucose F18Immune Checkpoint InhibitorsBiomarkers, TumorImmune Checkpoint InhibitorsImmunotherapyNon-Small Cell Lung CancerTumor Biomarkers

Identifiers

PMID38649279
PMCPMC11043703
OpenAlexW4395014773

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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 Socratic graph.