Evidence map›Paper›PMID 39696882›Full record

SynthesisCancer control : journal of the Moffitt Cancer Center

Neutrophil-To-Lymphocyte Ratio as a Prognostic Indicator in Thyroid Cancer.

Qiangang Gao, Mingming Quan, Lilong Zhang, Yanyun Ran, Jijun Zhong, Bin Wang

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Cancer control : journal of the Moffitt Cancer Center. 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.

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

6 authors.

Qiangang GaoDepartment of Nuclear Medicine, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China.
Mingming QuanDepartment of Surgical Oncology, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China.
Lilong ZhangDepartment of General Surgery, Renmin Hospital of Wuhan University, Wuhan, China.
Yanyun RanPrecision Medicine Center, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China.
Jijun ZhongDepartment of Nuclear Medicine, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China.
Bin WangDepartment of Radiology, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China.ORCID 0009-0009-2352-3430

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIn this study, we aimed to perform a comprehensive analysis to assess the prognostic value of neutrophil-to-lymphocyte ratio (NLR) levels in patients diagnosed with thyroid cancer.

methodsWe systematically searched multiple databases, including PubMed, the Cochrane Library, EMBASE, and Google Scholar, up until March 30, 2023, to identify relevant articles. The clinical outcomes evaluated in this study included overall survival (OS), progression-free survival (PFS), disease-free survival (DFS), and cause-specific survival (CSS).

resultsThis analysis includes 21 articles with 5187 patients in total. The pooled results revealed that patients with high NLR levels had significantly poorer OS (HR: 2.578, 95% CI: 2.050-3.242,

conclusionThe baseline NLR levels were useful predictors of outcomes in patients with thyroid cancer.

Indexed as

LymphocytesNeutrophilsThyroid NeoplasmsDisease-Free SurvivalFemaleHumansLymphocyte CountMalePrognosislenvatinibneutrophil-to-lymphocyte ratioprognosissorafenibsurgerythyroid cancer

Identifiers

PMID39696882
PMCPMC11660077

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.