Evidence map›Paper›PMID 27122671›Full record

ArticleWorld journal of gastroenterology2016

Lymphocyte-to-monocyte ratio predicts survival after radiofrequency ablation for colorectal liver metastases.

Antonio Facciorusso, Valentina Del Prete, Nicola Crucinio, Gaetano Serviddio, Gianluigi Vendemiale, Nicola Muscatiello

Open access · hybridAbstract read
In one paragraph

Article in World journal of gastroenterology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 5 pooled it
2.1field-weighted citation impact, top 13% 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

45 citing papers in PubMed, 5 syntheses or guidelines pooled it, 65 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

6 authors at 1 institution in 1 country.

Antonio FacciorussoAntonio Facciorusso, Valentina Del Prete, Nicola Crucinio, Nicola Muscatiello, Gastroenterology Unit, Department of Medical Sciences, University of Foggia, 71100 Foggia, Italy.
Valentina Del PreteAntonio Facciorusso, Valentina Del Prete, Nicola Crucinio, Nicola Muscatiello, Gastroenterology Unit, Department of Medical Sciences, University of Foggia, 71100 Foggia, Italy.
Nicola CrucinioAntonio Facciorusso, Valentina Del Prete, Nicola Crucinio, Nicola Muscatiello, Gastroenterology Unit, Department of Medical Sciences, University of Foggia, 71100 Foggia, Italy.
Gaetano ServiddioAntonio Facciorusso, Valentina Del Prete, Nicola Crucinio, Nicola Muscatiello, Gastroenterology Unit, Department of Medical Sciences, University of Foggia, 71100 Foggia, Italy.
Gianluigi VendemialeAntonio Facciorusso, Valentina Del Prete, Nicola Crucinio, Nicola Muscatiello, Gastroenterology Unit, Department of Medical Sciences, University of Foggia, 71100 Foggia, Italy.
Nicola MuscatielloAntonio Facciorusso, Valentina Del Prete, Nicola Crucinio, Nicola Muscatiello, Gastroenterology Unit, Department of Medical Sciences, University of Foggia, 71100 Foggia, Italy.
University of Foggia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo test the correlation between lymphocyte-to-monocyte ratio (LMR) and survival after radiofrequency ablation (RFA) for colorectal liver metastasis (CLMs).

methodsFrom July 2003 to Feb 2012, 127 consecutive patients with 193 histologically-proven unresectable CLMs were treated with percutaneous RFA at the University of Foggia. All patients had undergone primary colorectal tumor resection before RFA and received systemic chemotherapy. LMR was calculated by dividing lymphocyte count by monocyte count assessed at baseline. Treatment-related toxicity was defined as any adverse events occurred within 4 wk after the procedure. Overall survival (OS) and time to recurrence (TTR) were estimated from the date of RFA by Kaplan-Meier with plots and median (95%CI). The inferential analysis for time to event data was conducted using the Cox univariate and multivariate regression model to estimate hazard ratios (HR) and 95%CI. Statistically significant variables from the univariate Cox analysis were considered for the multivariate models.

resultsMedian age was 66 years (range 38-88) and patients were prevalently male (69.2%). Median LMR was 4.38% (0.79-88) whereas median number of nodules was 2 (1-3) with a median maximum diameter of 27 mm (10-45). Median OS was 38 mo (34-53) and survival rate (SR) was 89.4%, 40.4% and 33.3% at 1, 4 and 5 years respectively in the whole cohort. Running log-rank test analysis found 3.96% as the most significant prognostic cut-off point for LMR and stratifying the study population by this LMR value median OS resulted 55 mo (37-69) in patients with LMR > 3.96% and 34 (26-39) mo in patients with LMR ≤ 3.96% (HR = 0.53, 0.34-0.85, P = 0.007). Nodule size and LMR were the only significant predictors for OS in multivariate analysis. Median TTR was 29 mo (22-35) with a recurrence-free survival (RFS) rate of 72.6%, 32.1% and 21.8% at 1, 4 and 5 years, respectively in the whole study group. Nodule size and LMR were confirmed as significant prognostic factors for TTR in multivariate Cox regression. TTR, when stratified by LMR, was 35 mo (28-57) in the group > 3.96% and 25 mo (18-30) in the group ≤ 3.96% (P = 0.02).

conclusionOur study provides support for the use of LMR as a novel predictor of outcome for CLM patients.

Indexed as

Catheter AblationLymphocytesMonocytesAdultAgedAged, 80 and overColorectal NeoplasmsDisease-Free SurvivalDisease ProgressionFemaleHumansItalyKaplan-Meier EstimateLiver NeoplasmsLymphocyte CountMaleColorectal liver metastasisPrognosisRadiofrequency ablationRegressionSurvival

Identifiers

PMID27122671
PMCPMC4837438
OpenAlexW2343165495

What OpenQuestion holds

Textmetadata
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.