Evidence map›Paper›PMID 35607541›Full record

ArticleCureus2022

The Role of Pre-treatment Inflammatory Biomarkers in the Prediction of an Early Response to Panitumumab in Metastatic Colorectal Cancer.

Angioletta Lasagna, Marta Muzzana, Virginia V Ferretti, Catherine Klersy, Anna Pagani, Daniela Cicognini, Paolo Pedrazzoli, Silvia G Brugnatelli

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2022. 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
0.2field-weighted citation impact, top 48% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
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

8 authors at 1 institution in 1 country.

Angioletta LasagnaMedical Oncology, Fondazione Institute for Research, Hospitalization and Health Care (IRCCS) Policlinico San Matteo, Pavia, ITA.
Marta MuzzanaMedical Oncology, Fondazione Institute for Research, Hospitalization and Health Care (IRCCS) Policlinico San Matteo, Pavia, ITA.
Virginia V FerrettiService of Clinical Epidemiology & Biostatistic, Fondazione Institute for Research, Hospitalization and Health Care (IRCCS) Policlinico San Matteo, Pavia, ITA.
Catherine KlersyService of Clinical Epidemiology & Biostatistic, Fondazione Institute for Research, Hospitalization and Health Care (IRCCS) Policlinico San Matteo, Pavia, ITA.
Anna PaganiMedical Oncology, Fondazione Institute for Research, Hospitalization and Health Care (IRCCS) Policlinico San Matteo, Pavia, ITA.
Daniela CicogniniMedical Oncology, Fondazione Institute for Research, Hospitalization and Health Care (IRCCS) Policlinico San Matteo, Pavia, ITA.
Paolo PedrazzoliMedical Oncology, Fondazione Institute for Research, Hospitalization and Health Care (IRCCS) Policlinico San Matteo, Pavia, ITA.
Silvia G BrugnatelliMedical Oncology, Fondazione Institute for Research, Hospitalization and Health Care (IRCCS) Policlinico San Matteo, Pavia, ITA.
Istituti di Ricovero e Cura a Carattere Scientifico · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Systemic inflammation is a critical component of the development and progression of several types of cancer. Neutrophil-lymphocyte ratio (NLR) and lymphocyte-monocyte ratio (LMR) are simple, inexpensive, and reliable predictors of the systemic inflammatory response to the therapy in different malignant tumors, including colorectal cancer. Methods Metastatic colorectal cancer (mCRC) patients treated with panitumumab plus chemotherapy at first-line at the medical oncology unit of Fondazione Institute for Research, Hospitalization and Health Care (IRCCS) Policlinico San Matteo di Pavia between January 1st 2016 and February 1st 2021 were retrospectively analyzed. NLR and LMR were divided into two groups (high and low) based on the cut-off points, with the estimation of the prognostic accuracy of NLR for the early treatment response as the primary end-point of this study. Results The receiver operating characteristic (ROC) analysis showed a fair prognostic accuracy of NLR for early treatment response (area under the curve (AUC)=0.76, 95% CI: 0.62-0.89). A slightly lower prognostic accuracy was found for LMR (AUC=0.71, 95% CI: 0.57-0.85). In the univariable proportional hazard Cox model, no effect of NLR on PFS was found (NLR

Indexed as

lmrneutrophil-to-lymphocyte ratio (nlr)panitumumabpredictive valueserum biomarkersskin and mucosal toxicity

Identifiers

PMID35607541
PMCPMC9123381
OpenAlexW4224291476

What OpenQuestion holds

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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.