Evidence map›Paper›PMID 32495944›Full record

ArticleHematological oncology2020

Improving the international prognostic index score using peripheral blood counts: Results of a large multicenter study involving 520 patients with diffuse large B cell lymphoma.

Raffaella Marcheselli, Alessia Bari, Tamar Tadmor, Luigi Marcheselli, Maria Christina Cox, Robel Papotti, Angela Ferrari, Luca Baldini, Paolo Gobbi, Ilana Levy and 5 more

Abstract readMulticenter Study
In one paragraph

Article in Hematological oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

15 authors.

Raffaella MarcheselliFondazione Italiana Linfomi, Onlus, Modena, Italy.ORCID https://orcid.org/0000-0002-9506-2268
Alessia BariDipartimento di Scienze Mediche e Chirurgiche Materno-Infantili e dell'Adulto, Università di Modena e Reggio Emilia, Modena, Italy.ORCID https://orcid.org/0000-0002-9538-2499
Tamar TadmorHematology-Oncology Unit, Bnai Zion Medical Center, and the Rappaport Faculty of Medicine, Technion, Haifa, Israel.ORCID https://orcid.org/0000-0002-3435-8612
Luigi MarcheselliFondazione Italiana Linfomi, Onlus, Modena, Italy.
Maria Christina CoxHematology Unit, Sant'Andrea Hospital, Rome, Italy.
Robel PapottiDipartimento di Scienze Mediche e Chirurgiche Materno-Infantili e dell'Adulto, Università di Modena e Reggio Emilia, Modena, Italy.
Angela FerrariHematology Unit, IRCSS, Reggio Emilia, Italy.
Luca BaldiniDivision of Hematology, Fondazione IRCCS Cà Granda, University of Milan, Milan, Italy.
Paolo GobbiDepartment of Internal Medicine, University of Pavia, Fondazione IRCCS Policlinico S. Matteo, Pavia, Italy.
Ilana LevyDepartment of Internal Medicine, Bnai Zion Medical Center, Haifa, Israel.
Giuseppe PuglieseDipartimento di Scienze Mediche e Chirurgiche Materno-Infantili e dell'Adulto, Università di Modena e Reggio Emilia, Modena, Italy.
Massimo FedericoDipartimento di Scienze Mediche e Chirurgiche Materno-Infantili e dell'Adulto, Università di Modena e Reggio Emilia, Modena, Italy.
Aaron PolliackDepartment of Hematology, Hadassah University, Hospital and Hebrew University Medical School, Jerusalem, Israel.
Samantha PozziDipartimento di Scienze Mediche e Chirurgiche Materno-Infantili e dell'Adulto, Università di Modena e Reggio Emilia, Modena, Italy.
Stefano SacchiDipartimento di Scienze Mediche e Chirurgiche Materno-Infantili e dell'Adulto, Università di Modena e Reggio Emilia, Modena, Italy.ORCID https://orcid.org/0000-0003-1581-611X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The main purpose of this study was to assess whether it is possible to improve the prognostic impact of international prognostic index (IPI) score by combining it with peripheral blood counts. Thus, we evaluated the prognostic power of lymphocyte, neutrophil, and monocyte counts in 520 patients with diffuse large B cell lymphoma treated with R-CHOP, confirming that these parameters have a strong impact on overall survival (OS). Using revised IPI (R-IPI), 44% of patients were categorized as poor-risk and showed an OS at 5 years of 46%. As OS at 5 years of the 520 patients is 67%, it is clearly evident that R-IPI tends to overestimate the proportion of patients with poor prognosis. Accordingly, in an attempt to improve the discriminating power of R-IPI, we evaluated and compared three different scores by combining the neutrophil lymphocyte ratio (NLR) and absolute monocyte count (AMC) with the following values: (a) IPI score 3-5, (b) age > 60 years and performance status, (c) age  ≥ 65 years and LDH > ULN. The three indexes studied, had a similar 5 years OS for the high-risk group (46%-52%), but the proportion of patients classified as poor-risk were 37%, 20%, and 32%, respectively, which are lower than 44% identified with R-IPI. Thus, while R-IPI overestimates the number of high-risk patients, after applying our models, it is possible to recognize patients who are truly at high-risk. Of the three scores, the most accurate appears to be that based on NLR, AMC, LDH > ULN and age ≥ 65 years, which identifies 32% of high-risk patients, correlating well with what is seen in clinical practice.

Indexed as

AdultAgedAged, 80 and overAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorCyclophosphamideDoxorubicinFemaleFollow-Up StudiesHumansLymphocytesLymphoma, Large B-Cell, DiffuseMaleMiddle AgedMonocytesNeutrophilsBiomarkers, TumorCyclophosphamideDoxorubicinPrednisoneRituximabVincristineDLBCLIPI scorelymphocytemonocyteneutrophilprognosis

Identifiers

PMID32495944
PMCPMC7687198

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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.