Evidence map›Paper›PMID 25277347›Full record

Trial reportJournal of clinical laboratory analysis2015

Neutrophil-to-Lymphocyte Ratio Positively Correlates to Age in Healthy Population.

Jian Li, Qingyu Chen, Xiaohong Luo, Jun Hong, Kunyi Pan, Xianghua Lin, Xiaoqiang Liu, Lijun Zhou, Han Wang, Ying Xu and 2 more

Abstract readComparative StudyRandomized Controlled Trial
In one paragraph

Trial report in Journal of clinical laboratory analysis, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed, 3 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

86 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Pooled it
  4. Trial
  5. Cytotoxic CD4Nature aging · 2026
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  20. Time is encoded by methylation changes at clustered CpG sites.bioRxiv : the preprint server for biology · 2024
    Article

26 more citing papers are in PubMed but not listed here.

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.

Jian LiDepartment of Clinical Laboratory, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guanzhou, Guangdong Province, People's Republic of China.
Qingyu ChenHealth Examination Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guanzhou, Guangdong Province, People's Republic of China.
Xiaohong LuoDepartment of Clinical Laboratory, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guanzhou, Guangdong Province, People's Republic of China.
Jun HongDepartment of Prevention and Health Care, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guanzhou, Guangdong Province, People's Republic of China.
Kunyi PanDepartment of Clinical Laboratory, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guanzhou, Guangdong Province, People's Republic of China.
Xianghua LinDepartment of Clinical Laboratory, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guanzhou, Guangdong Province, People's Republic of China.
Xiaoqiang LiuDepartment of Clinical Laboratory, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guanzhou, Guangdong Province, People's Republic of China.
Lijun ZhouDepartment of Clinical Laboratory, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guanzhou, Guangdong Province, People's Republic of China.
Han WangDepartment of Clinical Laboratory, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guanzhou, Guangdong Province, People's Republic of China.
Ying XuDepartment of Clinical Laboratory, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guanzhou, Guangdong Province, People's Republic of China.
Hongyu LiDepartment of Clinical Laboratory, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guanzhou, Guangdong Province, People's Republic of China.
Chaohui DuanDepartment of Clinical Laboratory, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guanzhou, Guangdong Province, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNeutrophil to lymphocyte ratio (NLR) was reported to be an independent easy-to-measure marker for many diseases, while the distribution of NLR in healthy population was not formally studied. So we investigated NLR in healthy people in this study.

methodsData include NLR, systolic pressure, diastolic pressure, and body mass index (BMI), which were collected from 3,262 healthy population. Correlations of NLR with variables were analyzed with SPSS16.0.

resultsResults demonstrated that NLR was positively associated with age (P < 0.001). The eldest age group possessed the highest NLR and the youngest age group had the lowest NLR. NLR was also slightly positively associated with systolic pressure, diastolic pressure, and BMI (P < 0.001).

conclusionOlder people possessed relatively high NLR in healthy population.

Indexed as

AdultAgedAge FactorsBiomarkersBlood PressureBody Mass IndexCase-Control StudiesDiseaseFemaleFollow-Up StudiesHumansLymphocytesMaleMiddle AgedNeutrophilsPrognosisBiomarkersclinical parameterimmunitylymphocyteneutrophilNLR

Identifiers

PMID25277347
PMCPMC6807196

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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.