Evidence map›Paper›PMID 34344373›Full record

ArticleWorld journal of surgical oncology2021

Prognostic value of Onodera's nutritional index for intermediate- and high-risk gastrointestinal stromal tumors treated with or without tyrosine kinase inhibitors.

Feng Wang, Tingting Tao, Heng Yu, Yingying Xu, Zhi Yang, Xuefeng Xia, Meng Wang, Liang Zong, Wenxian Guan

Abstract read
In one paragraph

Article in World journal of surgical oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

9 authors.

Feng Wang *Department of General Surgery, Drum Tower Clinical Medical College of Nanjing Medical University, Nanjing, Jiangsu Province, People's Republic of China.
Tingting Tao *Department of General Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu Province, People's Republic of China.
Heng Yu *Department of General Surgery, Drum Tower Clinical Medical College of Nanjing Medical University, Nanjing, Jiangsu Province, People's Republic of China.
Yingying Xu *Department of General Surgery, Yizhen People's Hospital, Clinical Medical College, Yangzhou University, Yangzhou, Jiangsu Province, People's Republic of China.
Zhi YangDepartment of General Surgery, Drum Tower Clinical Medical College of Nanjing Medical University, Nanjing, Jiangsu Province, People's Republic of China.
Xuefeng XiaDepartment of General Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu Province, People's Republic of China.
Meng WangDepartment of General Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu Province, People's Republic of China. 5545840@qq.com.
Liang ZongDepartment of Gastrointestinal Surgery, Changzhi People's Hospital, The Affiliated Hospital of Changzhi Medical College, Changzhi, Shanxi Province, People's Republic of China. 250537471@qq.com.ORCID http://orcid.org/0000-0003-4139-4571
Wenxian GuanDepartment of General Surgery, Drum Tower Clinical Medical College of Nanjing Medical University, Nanjing, Jiangsu Province, People's Republic of China. medguanwenxian@163.com.

Funding

Jiangsu Provincial Key Research and Development Program No. BE2016603
6 · The paper itself

Abstract

backgroundImmunoinflammatory and nutritional markers, such as the peripheral blood neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and Onodera's prognostic nutritional index (OPNI), have gained considerable attention and have been preliminarily revealed as prognostic markers of gastrointestinal stromal tumors (GISTs).

methodsIn this study, we first investigated the prognostic value of OPNI in GISTs treated with or without TKIs based on the propensity score matching (PSM) method. All of the patients had received surgical resection for primary GIST, and data from 2010 to 2018 were initially and retrospectively identified from our gastrointestinal center. Recurrence-free survival (RFS) was calculated by the Kaplan-Meier method and compared by the log-rank test.

resultsThe patients were divided into groups treated and not treated with TKIs, and we used the propensity score matching method to homogenize their baseline data. Multivariate Cox proportional hazard regression models were applied to identify associations with outcome variables. A total of 563 GISTs were initially chosen, and 280 of them were included for analysis under the inclusion criteria. After PSM, there were 200 patients included. Multivariate analyses identified OPNI as an independent prognostic marker that was associated with primary site, tumor size, mitotic index, tumor rupture, necrosis, and modified NIH risk classification. Low OPNI (< 42.6; HR 0.409; P < 0.001) was associated with worse RFS.

conclusionsPreoperative OPNI is a novel and useful prognostic marker for GISTs both treated and not treated with TKIs. Higher NLR and PLR have negative effects on RFS.

Indexed as

Gastrointestinal Stromal TumorsNutrition AssessmentHumansPrognosisProtein Kinase InhibitorsRetrospective StudiesProtein Kinase InhibitorsGastrointestinal stromal tumorNeutrophil-to-lymphocyte ratioOnodera’s prognostic nutritional indexPlatelet-to-lymphocyte ratioPrognostic markerPropensity score matching

Identifiers

PMID34344373
PMCPMC8336234

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.