Evidence map›Paper›PMID 31214790›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2019

Mario Jreige, Igor Letovanec, Kariman Chaba, Stephanie Renaud, Sylvie Rusakiewicz, Valerie Cristina, Solange Peters, Thorsten Krueger, Laurence de Leval, Lana E Kandalaft and 5 more

Abstract read
PubMed Publisher
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 2 pooled it
5.9field-weighted citation impact, top 3% 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

46 citing papers in PubMed, 2 syntheses or guidelines pooled it, 79 citations in OpenAlex.

  1. Pooled it
  2. Prognostic value ofFrontiers in immunology · 2022
    Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Relationship between PD-L1 expression and [European journal of nuclear medicine and molecular imaging · 2025
    Article
  9. Metabolic tumor volume onTranslational lung cancer research · 2025
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Texture Features ofJournal of clinical medicine · 2024
    Article
  15. Article
  16. Review
  17. Patlak-Ki derived from ultra-high sensitivity dynamic total body [European journal of nuclear medicine and molecular imaging · 2023
    Article
  18. Article
  19. Article
  20. Molecular imaging to support cancer immunotherapy.Journal for immunotherapy of cancer · 2022
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 1 institution in 1 country.

Mario JreigeDepartment of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital, Rue du Bugnon 46, CH-1011, Lausanne, Switzerland.
Igor LetovanecInstitute of Pathology, Lausanne University Hospital, Lausanne, Switzerland.
Kariman ChabaCenter of Experimental Therapies (CTE), Department of Oncology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Stephanie RenaudCenter of Experimental Therapies (CTE), Department of Oncology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Sylvie RusakiewiczCenter of Experimental Therapies (CTE), Department of Oncology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Valerie CristinaTranslational Tumor Immunology Group, Department of Oncology, Lausanne University Hospital, Epalinges, Switzerland.
Solange PetersDepartment of Oncology, Lausanne University Hospital, Lausanne, Switzerland.
Thorsten KruegerDepartment of Thoracic Surgery, Lausanne University Hospital, Lausanne, Switzerland.
Laurence de LevalInstitute of Pathology, Lausanne University Hospital, Lausanne, Switzerland.
Lana E KandalaftCenter of Experimental Therapies (CTE), Department of Oncology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Marie Nicod-LalondeDepartment of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital, Rue du Bugnon 46, CH-1011, Lausanne, Switzerland.
Pedro RomeroTranslational Tumor Immunology Group, Department of Oncology, Lausanne University Hospital, Epalinges, Switzerland.
John O PriorDepartment of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital, Rue du Bugnon 46, CH-1011, Lausanne, Switzerland.
George CoukosCenter of Experimental Therapies (CTE), Department of Oncology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Niklaus SchaeferDepartment of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital, Rue du Bugnon 46, CH-1011, Lausanne, Switzerland. niklaus.schaefer@chuv.ch.
University of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAnti-PD-1/PD-L1 blockade can restore tumour-specific T-cell immunity and is an emerging therapy in non-small-cell lung cancer (NSCLC). We investigated the correlation between

methodsPD-Li expression in biopsy or resection specimens from 49 patients with confirmed NSCLC was investigated by immunohistochemistry. Maximum standardized uptake value (SUVmax), mean SUV (SUVmean), metabolic tumour volume (MTV) and total lesion glycolysis (TLG) were obtained from

resultsIn total, 25 adenocarcinomas and 24 squamous cell carcinomas were analysed. All tumours showed metabolic

conclusionThis study introduces MMVR as a new imaging biomarker and its ability to noninvasively capture increased PD-L1 tumour expression and predict clinical benefit from checkpoint blockade in NSCLC should be further evaluated.

Indexed as

Fluorodeoxyglucose F18Gene Expression Regulation, NeoplasticAdultAgedAged, 80 and overB7-H1 AntigenCarcinoma, Non-Small-Cell LungFemaleHumansLung NeoplasmsMaleMiddle AgedNecrosisRetrospective StudiesB7-H1 AntigenCD274 protein, humanFluorodeoxyglucose F18FDGImagingNSCLCPD-L1PET/CT

Identifiers

PMID31214790
OpenAlexW2950806843

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.