Evidence mapPaperPMID 38694305Full record

ArticleAnnals of medicine and surgery (2012)2024

Prognostic value of neutrophil-to-lymphocyte ratio (NLR) and platelet-neutrophil (PN) index in locally advanced rectal cancer patients: a retrospective cohort study.

Marina Morais, Telma Fonseca, Raquel Machado-Neves, Mrinalini Honavar, Ana Rita Coelho, Joanne Lopes, Emanuel Guerreiro, Silvestre Carneiro

Abstract read
In one paragraph

Article in Annals of medicine and surgery (2012), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 3 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.

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

7 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. 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

8 authors.

Marina MoraisDepartments of Surgery.
Telma FonsecaDepartments of Surgery.
Raquel Machado-NevesPathologic Anatomy, Unidade Local de Saúde de Matosinhos, da Hora.
Mrinalini HonavarPathologic Anatomy, Unidade Local de Saúde de Matosinhos, da Hora.
Ana Rita CoelhoPathologic Anatomy, Centro Hospitalar Universitário de São João, Porto, Portugal.
Joanne LopesPathologic Anatomy, Centro Hospitalar Universitário de São João, Porto, Portugal.
Emanuel GuerreiroDepartments of Surgery.
Silvestre CarneiroDepartments of Surgery.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In locally advanced rectal cancers (LARC), tumour node metastasis (TNM) staging is far from optimal. The authors aimed to investigate the value of previously described circulating biomarkers as predictors of prognosis. Methods: Retrospective analysis of 245 LARC patients diagnosed between January 2010 and December 2022, who underwent neoadjuvant chemoradiotherapy and surgery at two centres. A Cox regression and Kaplan-Meier analysis were performed. Results: Post-treatment platelet-to-lymphocyte ratio (PLR) predicted pathological complete response. The neutrophil-to-lymphocyte ratio (NLR) in two timepoints of the treatment significantly predicted overall survival, whereas the platelet-neutrophil (PN) index significantly predicted disease-free survival. In pathological stage II, the PN index predicted patients with a higher risk of disease-free survival. Conclusion: Blood parameters might allow the definition of subgroups of risk beyond TNM for the application of different therapeutic strategies.

Indexed as

neoadjuvant chemoradiotherapyneutrophil-to-lymphocyte ratiopathological responsepersonalized medicineplatelet-neutrophil indexplatelet-to-lymphocyte ratioprognosisrectal cancer

Identifiers

PMID38694305
PMCPMC11060258

What Socratic holds

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Registered trials

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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 Socratic graph.