Evidence map›Paper›PMID 27123132›Full record

ArticleOncology letters2016

Derived neutrophil/lymphocyte ratio predicts gemcitabine therapy outcome in unresectable pancreatic cancer.

Rei Suzuki, Tadayuki Takagi, Takuto Hikichi, Naoki Konno, Mitsuru Sugimoto, K O Watanabe, Jun Nakamura, Yuichi Waragai, Hitomi Kikuchi, Mika Takasumi and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 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
3.0field-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, 50 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. The Immune Microenvironment in Pancreatic Cancer.International journal of molecular sciences · 2020
    Review
  17. Article
  18. Neutrophils in the Tumor Microenvironment.Advances in experimental medicine and biology · 2020
    Review
  19. Review
  20. Review
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

12 authors at 1 institution in 1 country.

Rei SuzukiDepartment of Gastroenterology and Rheumatology, School of Medicine, Fukushima Medical University, Fukushima 960-1295, Japan.
Tadayuki TakagiDepartment of Gastroenterology and Rheumatology, School of Medicine, Fukushima Medical University, Fukushima 960-1295, Japan.
Takuto HikichiDepartment of Endoscopy, School of Medicine, Fukushima Medical University, Fukushima 960-1295, Japan.
Naoki KonnoDepartment of Gastroenterology and Rheumatology, School of Medicine, Fukushima Medical University, Fukushima 960-1295, Japan.
Mitsuru SugimotoDepartment of Gastroenterology and Rheumatology, School of Medicine, Fukushima Medical University, Fukushima 960-1295, Japan.
K O WatanabeDepartment of Endoscopy, School of Medicine, Fukushima Medical University, Fukushima 960-1295, Japan.
Jun NakamuraDepartment of Gastroenterology and Rheumatology, School of Medicine, Fukushima Medical University, Fukushima 960-1295, Japan.
Yuichi WaragaiDepartment of Gastroenterology and Rheumatology, School of Medicine, Fukushima Medical University, Fukushima 960-1295, Japan.
Hitomi KikuchiDepartment of Gastroenterology and Rheumatology, School of Medicine, Fukushima Medical University, Fukushima 960-1295, Japan.
Mika TakasumiDepartment of Gastroenterology and Rheumatology, School of Medicine, Fukushima Medical University, Fukushima 960-1295, Japan.
Hiroshi WatanabeDepartment of Gastroenterology and Rheumatology, School of Medicine, Fukushima Medical University, Fukushima 960-1295, Japan.
Hiromasa OhiraDepartment of Gastroenterology and Rheumatology, School of Medicine, Fukushima Medical University, Fukushima 960-1295, Japan.
Fukushima Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As gemcitabine is a key anti-tumor agent for unresectable pancreatic ductal adenocarcinoma (PDAC), it is important to predict the outcomes of gemcitabine chemotherapy. The present study aimed to confirm whether the derived neutrophil-to-lymphocyte ratio (dNLR) is able to predict chemotherapy outcomes. To elucidate the role of dNLR in patients that underwent chemotherapy, the current study evaluated clinicopathological variables in 31 patients with unresectable PDAC treated with gemcitabine. The correlation between clinicopathological variables, and progression-free survival (PFS) and overall survival (OS) time were investigated. Univariate analysis revealed that there were no significant differences in PFS and OS as a function of age (<65 vs. ≥65 years), gender, tumor location (pancreas head vs. body/tail), tumor diameter (<23 vs. ≥23 mm) or serum carbohydrate antigen 19-9 concentration level (<3,800 vs. ≥3,800 U/ml). However, disease stage (locally advanced vs. metastatic) and the dNLR (<2.5 vs. ≥2.5) significantly affected PFS and OS. Multivariate analysis subsequently revealed that a dNLR of ≥2.5 was an independent prognostic factor for poor PFS (P=0.003) and OS (P=0.026). In conclusion, data from the present study suggests that the pre-treatment dNLR is an independent prognostic factor to predict PFS and OS in patients with unresectable PDAC treated with gemcitabine. This indicates that dNLR has a potential role in stratifying patients that may benefit from gemcitabine therapy.

Indexed as

chemotherapylymphocytemarkerneutrophilpancreatic carcinoma

Identifiers

PMID27123132
PMCPMC4840986
OpenAlexW2333987139

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.