Evidence map›Paper›PMID 40757455›Full record

SynthesisBiomarkers in medicine2025

Predictive value of NLR for the occurrence and clinical outcomes of hypertension: a systematic review and meta-analysis.

Xinping Chi, Qi Bi, Li You, Yalin Zhou, Chunshan Zhao

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Biomarkers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. 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

5 authors.

Xinping ChiSchool of Nursing, University of Beihua of China, Jilin, China.
Qi BiSchool of Nursing, University of Beihua of China, Jilin, China.
Li YouSchool of Nursing, University of Beihua of China, Jilin, China.
Yalin ZhouSchool of Nursing, University of Beihua of China, Jilin, China.
Chunshan ZhaoSchool of Nursing, University of Beihua of China, Jilin, China.ORCID 0000-0002-6711-6302

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThis paper aims to perform a meta-analysis to provide the most updated and comprehensive evidence on the link between neutrophil-lymphocyte ratio (NLR) and the development and prognosis of hypertension. MATERIALS &

methodsCochrane Library, PubMed, Embase, and Web of Science were thoroughly searched for studies published from the inception of the databases up to 4 May 2024 using the keywords "Lymphocytes," "Neutrophils," "Ratio," and "Hypertension." The odds ratios (OR) and 95% confidence intervals (CI) were extracted for random-effects meta-analysis. We employed Egger's test to check publication bias, sensitivity analyses to identify studies that significantly impacted the meta-analysis results, and subgroup analyses to ascertain the source of heterogeneity.

results10 articles involving 78,194 patients were enrolled. The pooled data indicated that NLR was a significant predictor of hypertension risk (OR = 1.11, 95% CI = 1.05-1.17,

conclusionNLR is a reliable and valuable biomarker for predicting both the risk of hypertension and outcomes in hypertensive patients.

Indexed as

HypertensionLymphocytesNeutrophilsBiomarkersHumansPrognosisBiomarkershypertensionmeta-analysisNeutrophil to lymphocyte ratiopredictive valuesystematic review

Identifiers

PMID40757455
PMCPMC12416170

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.