Evidence map›Paper›PMID 34151845›Full record

ArticleCancer biomarkers : section A of Disease markers2021

Lymphocyte C-reactive protein ratio: A new biomarker to predict early complications after gastrointestinal oncologic surgery.

Murat Yildirim, Bulent Koca

Abstract read
In one paragraph

Article in Cancer biomarkers : section A of Disease markers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

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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

2 authors.

Murat Yildirim
Bulent Koca

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLymphocyte-to-C-reactive protein ratio (LCR) has been used as a post-surgical prognostic biomarker in patients with gastric and colorectal cancer. However, its relationship with early postoperative complications in these patients is unknown. In this study, we aimed to reveal the relationship between LCR and postoperative complications.

methodsEighty-one patients operated for stomach and colorectal cancer between January 2020 and August 2020 were prospectively analyzed. On preoperative and postoperative days 1, 3 and 5, other inflammatory parameters, mainly LCR, neutrophil lymphocyte ratio (NLR), were recorded. The patients were divided into two groups according to Clavien-Dindo classification as stage III and higher complications major, stage I-II/non-complication minor.

resultsFifty seven patients were operated for colorectal cancer, 24 patients for gastric cancer. The mean age of the patients was 65.6 ± 12.6, 34.6% of them was women. Age, operation time and hospital stay were significantly different between the groups (p= 0.004, p= 0.002, p< 0.001). Major complications developed in 18 patients. On postoperative day 5, LCR found superior diagnostic accuracy in predicting major postoperative complications compared to other inflammatory markers. On the postoperative 5th day, the cut-off value of LCR was 0.0034, 88.8% (71.9-94.8) sensitivity, and 85.7% (73.6-95.4) selectivity.

conclusionAmong different inflammatory markers, postoperative LCR is a safe and effective predictor of postoperative complications, especially after gastric and colorectal cancer surgery on day 5.

Indexed as

AgedBiomarkers, TumorC-Reactive ProteinFemaleHumansLymphocytesMalePrognosisProspective StudiesStomach NeoplasmsBiomarkers, TumorC-Reactive Proteincolorectal cancergastric cancerLymphocyte-to-C-reactive protein ratio

Identifiers

PMID34151845
PMCPMC12500021
OpenAlexW3167557949

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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 OpenQuestion graph.