Evidence map›Paper›PMID 28836056›Full record

ArticleSurgery today2018

The prognostic significance of inflammation-based markers in patients with recurrent gastric cancer.

Kazuhiro Migita, Sohei Matsumoto, Kohei Wakatsuki, Masahiro Ito, Tomohiro Kunishige, Hiroshi Nakade, Mutsuko Kitano, Mitsuhiro Nakatani, Masayuki Sho

Abstract read
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Article in Surgery today, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 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

8 citing papers in PubMed, 1 synthesis or guideline 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

9 authors.

Kazuhiro MigitaDepartment of Surgery, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan. kmigita@naramed-u.ac.jp.
Sohei MatsumotoDepartment of Surgery, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan.
Kohei WakatsukiDepartment of Surgery, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan.
Masahiro ItoDepartment of Surgery, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan.
Tomohiro KunishigeDepartment of Surgery, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan.
Hiroshi NakadeDepartment of Surgery, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan.
Mutsuko KitanoDepartment of Surgery, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan.
Mitsuhiro NakataniDepartment of Surgery, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan.
Masayuki ShoDepartment of Surgery, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of this study was to evaluate the prognostic impact of inflammation-based markers, including the neutrophil-to-lymphocyte ratio (NLR) and prognostic nutritional index (PNI), in patients with recurrent gastric cancer (RGC).

methodsThis study reviewed 167 patients with RGC. A receiver operating characteristics (ROC) curve analysis was performed to determine the NLR and PNI cutoff values. The prognostic significance of the NLR and PNI was evaluated by a multivariate analysis.

resultsThe optimal NLR and PNI cutoff values for predicting the 1-year survival after recurrence were 2.2 and 47, respectively. A univariate analysis revealed that the NLR (p < 0.001) and PNI (p < 0.001) were significantly associated with the survival time after recurrence, along with the histology, peritoneal recurrence, carbohydrate antigen 19-9, and chemotherapy for recurrence. In the multivariate analysis, a higher NLR (p < 0.001) and a lower PNI (p = 0.002) were independent predictors of a shorter survival time. Among the patients who underwent chemotherapy, the NLR and PNI were also independent prognostic factors.

conclusionsInflammation-based markers, including the NLR and PNI, are simple and useful clinical biomarkers that can be used to predict the survival time of patients with RGC.

Indexed as

Biomarkers, TumorLeukocyte CountLymphocyte CountNeoplasm Recurrence, LocalNeutrophilsNutrition AssessmentAgedFemaleHumansMaleMiddle AgedMultivariate AnalysisPrognosisROC CurveStomach NeoplasmsSurvival RateBiomarkers, TumorNeutrophil-to-lymphocyte ratioPrognostic nutritional indexRecurrent gastric cancer

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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.