Evidence map›Paper›PMID 33029662›Full record

ArticleEJNMMI research2020

Correlations between baseline

Pierre Decazes, Vincent Camus, Elodie Bohers, Pierre-Julien Viailly, Hervé Tilly, Philippe Ruminy, Mathieu Viennot, Sébastien Hapdey, Isabelle Gardin, Stéphanie Becker and 2 more

Open access · goldAbstract read
In one paragraph

Article in EJNMMI research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

13 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Hodgkin lymphoma and liquid biopsy: a story to be told.Journal of experimental & clinical cancer research : CR · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Circulating tumor DNA in Hodgkin lymphoma.Annals of hematology · 2022
    Review
  11. Cell-Free DNA for the Management of Classical Hodgkin Lymphoma.Pharmaceuticals (Basel, Switzerland) · 2021
    Review
  12. Review
  13. Combination of Circulating Tumour DNA andCancer genomics & proteomics
    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

12 authors at 3 institutions in 1 country.

Pierre DecazesDepartment of Nuclear Medicine, Henri Becquerel Cancer Centre, Rouen, France. pierre.decazes@chb.unicancer.fr.ORCID http://orcid.org/0000-0001-5323-9910
Vincent CamusDepartment of Haematology, Henri Becquerel Cancer Centre, Rouen, France.
Elodie BohersDepartment of Haematology, Henri Becquerel Cancer Centre, Rouen, France.
Pierre-Julien ViaillyDepartment of Haematology, Henri Becquerel Cancer Centre, Rouen, France.
Hervé TillyDepartment of Haematology, Henri Becquerel Cancer Centre, Rouen, France.
Philippe RuminyDepartment of Haematology, Henri Becquerel Cancer Centre, Rouen, France.
Mathieu ViennotDepartment of Haematology, Henri Becquerel Cancer Centre, Rouen, France.
Sébastien HapdeyDepartment of Nuclear Medicine, Henri Becquerel Cancer Centre, Rouen, France.
Isabelle GardinDepartment of Nuclear Medicine, Henri Becquerel Cancer Centre, Rouen, France.
Stéphanie BeckerDepartment of Nuclear Medicine, Henri Becquerel Cancer Centre, Rouen, France.
Pierre VeraDepartment of Nuclear Medicine, Henri Becquerel Cancer Centre, Rouen, France.
Fabrice JardinDepartment of Haematology, Henri Becquerel Cancer Centre, Rouen, France.
Inserm · FRLaboratoire d'Informatique, du Traitement de l'Information et des Systèmes · FRLaboratoire National Henri Becquerel · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background

methodsTwenty-seven DLBCL and forty-eight cHL were prospectively included. Twelve PET parameters were analysed. Spearman's correlations were used to compare PET parameters each other and to circulating cell-free DNA ([cfDNA]) and circulating tumour DNA ([ctDNA]). p values were controlled by Benjamini-Hochberg correction.

resultsAmong the PET parameters, three different clusters for tumour burden, fragmentation/massiveness and dispersion parameters were observed. Some PET parameters were significantly correlated with blood DNA parameters, including the total metabolic tumour surface (TMTS) describing the tumour-host interface (e.g. ρ = 0.81 p < 0.001 for [ctDNA] of DLBLC), the tumour median distance between the periphery and the centroid (medPCD) describing the tumour's massiveness (e.g. ρ = 0.81 p < 0.001 for [ctDNA] of DLBLC) and the volume of the bounding box including tumours (TumBB) describing the disease's dispersion (e.g. ρ = 0.83 p < 0.001 for [ctDNA] of DLBLC).

conclusionsSome PET parameters describing tumour burden, fragmentation/massiveness and dispersion are significantly correlated with circulating DNA parameters of DLBCL and cHL patients. These results could help to understand the pathophysiology of B cell malignancies.

Indexed as

B cell malignanciesCirculating free DNACirculating tumour DNADiffuse large B cell lymphomaHodgkin lymphomaPositron emission tomography

Identifiers

PMID33029662
PMCPMC7541805
OpenAlexW3091858538

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.