Evidence map›Paper›PMID 34603985›Full record

ArticleQuantitative imaging in medicine and surgery2021

Comparison between tumour metabolism derived from

Yannick Silva, Jean-Marc Riedinger, Marie-Lorraine Chrétien, Denis Caillot, Jill Corre, Kévin Guillen, Alexandre Cochet, Claire Tabouret-Viaud, Romaric Loffroy

Open access · diamondAbstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 38% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. The [European journal of nuclear medicine and molecular imaging · 2026
    Pooled it
  2. Bone marrow SUVmax onImmunologic research · 2026
    Article
  3. IdentifyingQuantitative imaging in medicine and surgery · 2022
    Article
  4. 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

9 authors at 3 institutions in 1 country.

Yannick SilvaDepartment of Nuclear Medicine, Unicancer-Georges François Leclerc Cancer Center, Dijon, France.
Jean-Marc RiedingerDepartment of Nuclear Medicine, Unicancer-Georges François Leclerc Cancer Center, Dijon, France.
Marie-Lorraine ChrétienDepartment of Clinical Haematology, François-Mitterrand University Hospital, Dijon, France.
Denis CaillotDepartment of Clinical Haematology, François-Mitterrand University Hospital, Dijon, France.
Jill CorreUnit for Genomics in Myeloma, Institut Universitaire du Cancer-Oncopole, Toulouse, France.
Kévin GuillenDepartment of Diagnostic and Interventional Radiology, François-Mitterrand University Hospital, Dijon, France.
Alexandre CochetDepartment of Nuclear Medicine, Unicancer-Georges François Leclerc Cancer Center, Dijon, France.
Claire Tabouret-ViaudDepartment of Nuclear Medicine, Unicancer-Georges François Leclerc Cancer Center, Dijon, France.
Romaric LoffroyDepartment of Diagnostic and Interventional Radiology, François-Mitterrand University Hospital, Dijon, France.
Centre Georges François Leclerc · FRMaison des Sciences de l’Homme de Dijon · FRCentre de Recherche en Cancérologie de Toulouse · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background

methodsFrom March 2012 to March 2019, 57 patients with newly diagnosed MM addressed to our institution for baseline

resultsThe distribution of total metabolic tumour volume (TMTV) and total lesion glycolysis (TLG) values among the three LP score categories was almost stochastic, with no significant association (P=0.70). Additionally, no significant association between TMTV/TLG and any of the six cytogenetic abnormalities included in LP score calculation. A significant association was found between visual high suspicion of DBI and LP score (P=0.036), and between this visual parameter and the presence of 1q gain (P=0.049).

conclusionsThere is no significant association between quantitative metabolic parameters assessed with

Indexed as

18F-fluorodeoxyglucose positron emission tomography integrated with computed tomography (18F-FDG PET/CT)cytogenetic stratificationlinear predictor score (LP score)metabolic volumeMultiple myeloma (MM)

Identifiers

PMID34603985
PMCPMC8408794
OpenAlexW3169899395

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.