Evidence map›Paper›PMID 32196557›Full record

ArticleBlood advances2020

SAKK38/07 study: integration of baseline metabolic heterogeneity and metabolic tumor volume in DLBCL prognostic model.

Luca Ceriani, Giuseppe Gritti, Luciano Cascione, Maria Cristina Pirosa, Angela Polino, Teresa Ruberto, Anastasios Stathis, Andrea Bruno, Alden A Moccia, Luca Giovanella and 7 more

Erratum issued Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Blood advances, 2020. 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 trial NCT00544219 (Prospective Evaluation of the Predictive Value of PET in Patients With Diffuse Large B-cell-lymphoma Under R-CHOP-14. A Multicenter Study), which is not on this map. Cited by 47 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 2 pooled it
6.8field-weighted citation impact, top 2% 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.

NCT00544219 nacompletednot on this map

Prospective Evaluation of the Predictive Value of PET in Patients With Diffuse Large B-cell-lymphoma Under R-CHOP-14. A Multicenter Study

TypeinterventionalSponsorSwiss Cancer InstituteRan2007 to 2016Enrolled156ConditionsLymphomaArmsrituximab, cyclophosphamide, doxorubicin hydrochloride, prednisone, vincristine sulfate
3 · Its place in the literature

Who cites it

47 citing papers in PubMed, 2 syntheses or guidelines pooled it, 72 citations in OpenAlex.

  1. Pooled it
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  10. A proof of concept study ofScientific reports · 2025
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  13. Association of [Diagnostics (Basel, Switzerland) · 2025
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  15. Radiomics based onQuantitative imaging in medicine and surgery · 2025
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  18. Clinical scoring systems, molecular subtypes and baseline [Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 10 institutions in 2 countries.

Luca CerianiNuclear Medicine and PET/CT Centre, Imaging Institute of Southern Switzerland, Bellinzona, Switzerland.
Giuseppe GrittiHematology Unit, Azienda Ospedaliera Papa Giovanni XXIII, Bergamo, Italy.
Luciano CascioneInstitute of Oncology Research, Faculty of Biomedical Sciences, Università della Svizzera Italiana, Bellinzona, Switzerland.
Maria Cristina PirosaMedical Oncology Clinic, Oncology Institute of Southern Switzerland, Bellinzona, Switzerland.
Angela PolinoMedical Oncology Clinic, Oncology Institute of Southern Switzerland, Bellinzona, Switzerland.
Teresa RubertoNuclear Medicine and PET/CT Centre, Imaging Institute of Southern Switzerland, Bellinzona, Switzerland.
Anastasios StathisMedical Oncology Clinic, Oncology Institute of Southern Switzerland, Bellinzona, Switzerland.
Andrea BrunoDepartment of Nuclear Medicine, Azienda Ospedaliera Papa Giovanni XXIII, Bergamo, Italy.
Alden A MocciaMedical Oncology Clinic, Oncology Institute of Southern Switzerland, Bellinzona, Switzerland.
Luca GiovanellaNuclear Medicine and PET/CT Centre, Imaging Institute of Southern Switzerland, Bellinzona, Switzerland.
Stefanie HayozSwiss Group for Clinical Cancer Research (SAKK) Coordinating Center, Bern, Switzerland.
Sämi SchärSwiss Group for Clinical Cancer Research (SAKK) Coordinating Center, Bern, Switzerland.
Stefan DirnhoferInstitute of Medical Genetics and Pathology, University Hospital Basel, University of Basel, Switzerland.
Alessandro RambaldiHematology Unit, Azienda Ospedaliera Papa Giovanni XXIII, Bergamo, Italy.
Giovanni MartinelliEuropean Institute of Oncology, Milan, Italy.
Christoph MamotCantonal Hospital Aarau, Aarau, Switzerland; and.
Emanuele ZuccaInstitute of Oncology Research, Faculty of Biomedical Sciences, Università della Svizzera Italiana, Bellinzona, Switzerland.
Institute of Oncology Research · CHOspedale Papa Giovanni XXIII · ITSwiss Group For Clinical Cancer Research · CHEuropean Institute of Oncology · ITKantonsspital Aarau · CHSIB Swiss Institute of Bioinformatics · CHUniversity of Basel · CHUniversity of Bern · CHUniversity of Milan · ITUniversity of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several functional parameters from baseline (18)F-fluorodeoxyglucose positron emission tomography (PET)/computed tomography have been proposed as promising biomarkers of treatment efficacy in diffuse large B-cell lymphoma (DLBCL). We tested their ability to predict outcome in 2 cohorts of DLBCL patients receiving conventional immunochemotherapy (rituximab, cyclophosphamide, doxorubicin hydrochloride, vincristine sulfate, and prednisone [R-CHOP] regimen), either every 14 (R-CHOP14) or 21 days (R-CHOP21). Baseline PET analysis was performed in 141 patients with DLBCL treated with R-CHOP14 in the prospective SAKK38/07 study (NCT00544219) of the Swiss Group for Clinical Cancer Research (testing set). Reproducibility was examined in a validation set of 113 patients treated with R-CHOP21. In the SAKK38/07 cohort, progression-free survival (PFS) at 5 years was 83% for patients with low metabolic tumor volume (MTV) and 59% for those with high MTV (hazard ratio [HR], 3.4; 95% confidence interval [CI], 1.6-7.0; P = .0005), whereas overall survival (OS) was 91% and 64%, respectively (HR, 4.4; 95% CI, 1.9-10; P = .0001). MTV was the most powerful predictor of outcome also in the validation set. Elevated metabolic heterogeneity (MH) significantly predicted poorer outcomes in the subgroups of patients with elevated MTV. A model integrating MTV and MH identified high-risk patients with shorter PFS (testing set: HR, 5.6; 95% CI, 1.8-17; P < .0001; validation set: HR, 5.6; 95% CI, 1.7-18; P = .0002) and shorter OS (testing set: HR, 9.5; 95% CI, 1.7-52; P < .0001; validation set: HR, 7.6; 95% CI, 2.0-28; P = .0003). This finding was confirmed by an unsupervised regression tree analysis indicating that prognostic models based on MTV and MH may allow early identification of refractory patients who might benefit from treatment intensification. This trial was registered at www.clinicaltrials.gov as #NCT00544219.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsLymphoma, Large B-Cell, DiffuseHumansKaplan-Meier EstimatePrognosisProspective StudiesReproducibility of ResultsTumor Burden

Identifiers

PMID32196557
PMCPMC7094027
OpenAlexW3011375925

What OpenQuestion holds

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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 OpenQuestion graph.