Evidence map›Paper›PMID 27275541›Full record

ArticleOncotarget2016

A novel predictive model based on preoperative blood neutrophil-to-lymphocyte ratio for survival prognosis in patients with gastric neuroendocrine neoplasms.

Long-Long Cao, Jun Lu, Jian-Xian Lin, Chao-Hui Zheng, Ping Li, Jian-Wei Xie, Jia-Bin Wang, Qi-Yue Chen, Mi Lin, Ru-Hong Tu and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 8% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

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  14. Serum Inflammation-based Scores in Endocrine Tumors.The Journal of clinical endocrinology and metabolism · 2021
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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

11 authors at 2 institutions in 1 country.

Long-Long CaoDepartment of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, 350001, People's Republic of China.
Jun LuDepartment of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, 350001, People's Republic of China.
Jian-Xian LinDepartment of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, 350001, People's Republic of China.
Chao-Hui ZhengDepartment of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, 350001, People's Republic of China.
Ping LiDepartment of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, 350001, People's Republic of China.
Jian-Wei XieDepartment of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, 350001, People's Republic of China.
Jia-Bin WangDepartment of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, 350001, People's Republic of China.
Qi-Yue ChenDepartment of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, 350001, People's Republic of China.
Mi LinDepartment of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, 350001, People's Republic of China.
Ru-Hong TuDepartment of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, 350001, People's Republic of China.
Chang-Ming HuangDepartment of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, 350001, People's Republic of China.
Fujian Medical University · CNUnion Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeEvaluate the predictive value of the preoperative blood neutrophil-to-lymphocyte ratio (NLR) on the clinical outcomes of patients with gastric neuroendocrine neoplasms (g-NENs) after radical surgery.

resultsThe NLR was significantly higher in patients with g-NENs than in matched normal volunteers (P < 0.05). A higher blood NLR was not significantly associated with clinical characteristics (all P > 0.05). According to the multivariate analysis, the NLR was an independent prognostic factor of RFS and OS. Nomograms, including the NLR, Ki-67 index and lymph node ratio, had superior discriminative abilities to predict clinical outcomes. The recurrence rate was 37% (55/147). The median time to recurrence was 9 months; 48 (87%) patients experienced recurrence within the first 2 years. Both the NLR and Ki-67 index were correlated with liver metastases (both P < 0.05) and were also negatively correlated with recurrence time (both P < 0.05). MATERIALS AND

methodsWe enrolled 147 patients who were diagnosed with g-NENs and underwent radical surgery. Receiver operating characteristic curve analysis was used to identify the optimal value for blood NLR. Univariate and multivariate survival analysis were used to identify prognostic factors for g-NENs. A nomogram was adopted to predict RFS and OS after surgery.

conclusionsAs an independent prognostic factor for g-NENs, blood NLR can improve the predictability of RFS and OS. We recommend that g-NEN patients with a high blood NLR or high Ki-67 index undergo surveillance during the first month and then every 3 months for 2 years post-surgery.

Indexed as

AgedDisease-Free SurvivalFemaleHumansKi-67 AntigenLymphatic MetastasisLymphocyte CountLymphocytesMaleMiddle AgedMultivariate AnalysisNeoplasm Recurrence, LocalNeuroendocrine TumorsNeutrophilsNomogramsPostoperative PeriodKi-67 Antigengastric neuroendocrine neoplasmspreoperative blood neutrophil-to-lymphocyte ratioprognosissurveillance strategytumor recurrence

Identifiers

PMID27275541
PMCPMC5173115
OpenAlexW2410136891

What OpenQuestion holds

Textmetadata
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.