Evidence map›Paper›PMID 29872898›Full record

ArticleCancer immunology, immunotherapy : CII2018

Longitudinal studies of the

Christos Sachpekidis, Hoda Anwar, Julia K Winkler, Annette Kopp-Schneider, Lionel Larribere, Uwe Haberkorn, Jessica C Hassel, Antonia Dimitrakopoulou-Strauss

Open access · greenAbstract read
In one paragraph

Article in Cancer immunology, immunotherapy : CII, 2018. 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
3.4field-weighted citation impact, top 7% 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.

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, 24 citations in OpenAlex.

  1. The value ofEuropean journal of nuclear medicine and molecular imaging · 2021
    Pooled it
  2. Pooled it
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  5. Predictive value and accuracy of [European journal of nuclear medicine and molecular imaging · 2023
    Article
  6. The Role and Potential ofDiagnostics (Basel, Switzerland) · 2022
    Review
  7. Article
  8. Review
  9. Article
  10. Quantitative DynamicCancers · 2021
    Article
  11. Review
  12. Review
  13. Review
  14. Article
  15. Can benign lymphoid tissue changes inCancer immunology, immunotherapy : CII · 2019
    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

8 authors at 3 institutions in 1 country.

Christos SachpekidisClinical Cooperation Unit Nuclear Medicine, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69210, Heidelberg, Germany. christos_saxpe@yahoo.gr.
Hoda AnwarClinical Cooperation Unit Nuclear Medicine, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69210, Heidelberg, Germany.
Julia K WinklerDepartment of Dermatology and National Center for Tumor Diseases, University of Heidelberg, Heidelberg, Germany.
Annette Kopp-SchneiderDepartment of Biostatistics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Lionel LarribereSkin Cancer Unit, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Uwe HaberkornClinical Cooperation Unit Nuclear Medicine, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69210, Heidelberg, Germany.
Jessica C HasselDepartment of Dermatology and National Center for Tumor Diseases, University of Heidelberg, Heidelberg, Germany.
Antonia Dimitrakopoulou-StraussClinical Cooperation Unit Nuclear Medicine, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69210, Heidelberg, Germany.
German Cancer Research Center · DEHeidelberg University · DENational Center for Tumor Diseases · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImmunotherapy has raised the issue of appropriate treatment response evaluation, due to the unique mechanism of action of the immunotherapeutic agents. Aim of this analysis is to evaluate the potential role of quantitative analysis of 2-deoxy-2-(

methods25 patients with unresectable metastatic melanoma underwent dynamic PET/CT (dPET/CT) of the thorax and upper abdomen as well as static, whole body PET/CT with

resultsAccording to their best clinical response, patients were dichotomized in those demonstrating clinical benefit (CB, n = 16 patients) and those demonstrating no clinical benefit (no-CB, n = 9 patients). No statistically significant differences were observed between CB and no-CB regarding either semi-quantitative or quantitative parameters in all scans. On contrary, the application of the recently introduced PET response evaluation criteria for immunotherapy (PERCIMT) led to a correct classification rate of 84% (21/25 patients).

conclusionQuantitative analysis of

Indexed as

Fluorodeoxyglucose F18RadiopharmaceuticalsAntineoplastic Agents, ImmunologicalFemaleHumansIpilimumabKineticsLongitudinal StudiesMaleMelanomaMiddle AgedPositron Emission Tomography Computed TomographyPrognosisAntineoplastic Agents, ImmunologicalFluorodeoxyglucose F18IpilimumabRadiopharmaceuticals18F-FDG PET/CTIpilimumabMetastatic melanomaPERCIMT criteria

Identifiers

PMID29872898
PMCPMC11028129
OpenAlexW2806140203

What OpenQuestion holds

Textmetadata
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.