Evidence map›Paper›PMID 33062063›Full record

ArticleTherapeutic advances in medical oncology2020

Prognostic role of a new index (multi inflammatory index) in patients with metastatic colorectal cancer: results from the randomized ITACa trial.

Andrea Casadei Gardini, Emanuela Scarpi, Martina Valgiusti, Manlio Monti, Silvia Ruscelli, Laura Matteucci, Giulia Bartolini, Bernadette Vertogen, Flavia Pagan, Giulia Rovesti and 2 more

Registry-linked trialAbstract read
In one paragraph

Article in Therapeutic advances in medical oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01878422 (SEQUENTIAL TREATMENT STRATEGY FOR METASTATIC COLORECTAL CANCER), which is not on this map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
–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.

NCT01878422 phase3completednot on this map

Sequential treatment strategy for metastatic colorectal cancer: a phase iii prospective randomized multicenter study of chemotherapy (ct) with or without bevacizumab as first-line therapy followed by two phase iii randomized studies of ct alone or ct plus bevacizumab with or without cetuximab as second-line therapy

TypeinterventionalSponsorIstituto Romagnolo per lo Studio dei Tumori Dino Amadori IRST S.r.l. IRCCSRan2007 to 2016Enrolled376ConditionsMetastatic Colorectal CancerArmsArm A: FOLFIRI or FOLFOX + Bevacizumab, Arm B: FOLFIRI or FOLFOX, Arm D: FOLFIRI or FOLFOX plus CETUXIMAB, Arm F: FOLFIRI or FOLFOX plus BEVACIZUMAB and CETUXIMAB
3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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.

Andrea Casadei GardiniDivision of Medical Oncology, Department of Medical and Surgical Sciences for Children and Adults, University Hospital of Modena, Italy.
Emanuela ScarpiUnit of Biostatistics and Clinical Trials, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Via P. Maroncelli 40, Meldola, Forlì, 47014, Italy.ORCID https://orcid.org/0000-0001-7230-9267
Martina ValgiustiDepartment of Medical Oncology, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Italy.
Manlio MontiDepartment of Medical Oncology, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Italy.
Silvia RuscelliDepartment of Medical Oncology, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Italy.
Laura MatteucciDepartment of Medical Oncology, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Italy.
Giulia BartoliniDepartment of Medical Oncology, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Italy.
Bernadette VertogenUnit of Biostatistics and Clinical Trials, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Italy.
Flavia PaganUnit of Biostatistics and Clinical Trials, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Italy.
Giulia RovestiDivision of Medical Oncology, Department of Medical and Surgical Sciences for Children and Adults, University Hospital of Modena, Italy.ORCID https://orcid.org/0000-0002-2761-9482
Giovanni Luca FrassinetiDepartment of Medical Oncology, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Italy.
Alessandro PassardiDepartment of Medical Oncology, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsWe created a new index (Multi Inflammatory Index, MII) composed of an inflammatory index [neutrophil-to lymphocyte-ratio (NLR): MII-1; platelet-to-lymphocyte ratio (PLR): MII-2; or systemic immune-inflammation index (SII): MII-3] and C-reactive protein (CRP). Our aim was to evaluate the prognostic and/or predictive capacity of the MII in the randomized ITACa (Italian Trial in Advanced Colorectal Cancer) study on patients with metastatic colorectal cancer undergoing first-line chemotherapy.

methodsBetween November 2007 and March 2012, baseline NLR, PLR; SII and CRP were available for 131 patients, 66 receiving chemotherapy plus bevacizumab and 65 receiving chemotherapy alone.

resultsPatients with low (<25) MII-1 levels had a better outcome than those with high (⩾25) levels: median progression-free survival (PFS) was 12.4

conclusionAll MII indexes appear to be useful as prognostic markers.

trial registrationClinicalTrials.gov identifier: NCT01878422 (registration date: 07/06/2013) https://clinicaltrials.gov/ct2/show/NCT01878422.

Indexed as

bevacizumabfirst-lineinflammationmetastatic colorectal cancerneutrophil-to-lymphocyte ratioprognosis

Identifiers

PMID33062063
PMCPMC7534088

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.