Evidence map›Paper›PMID 27375729›Full record

ArticlePakistan journal of medical sciences

Association of blood neutrophil lymphocyte ratio in the patients with postmenopausal osteoporosis.

Chenshu Huang, Shaolin Li

Open access · goldAbstract read
In one paragraph

Article in Pakistan journal of medical sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 4 pooled it
2.4field-weighted citation impact, top 11% 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

39 citing papers in PubMed, 4 syntheses or guidelines pooled it, 66 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Chenshu HuangDr. Chenshu Huang, PhD, MD. Department of Radiation Medicine and Tumor, College of Basic Medicine, Chongqing Medical University, Yuzhong District, Chongqing, China.
Shaolin LiProf. Shaolin Li, Department of Radiation Medicine and Tumor, College of Basic Medicine, Chongqing Medical University, Yuzhong District, Chongqing, China.
Chongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the relationship between blood neutrophil lymphocyte ratio (NLR) and postmenopausal osteoporosis in Chinese women without diabetes.

methodsTwo hundred and thirty three postmenopausal women without diabetes were included in this study. The clinical data of patients including age, and body mass index (BMI) were recorded. Blood samples were obtained to determine Blood urea nitrogen (BUN), Uric acid (UA), Albumin (ALB), Creatinine (CREA), Total Cholesterol(TC), Triglyceride (TG), Fasting plasma glucose (FPG), Glycosylated Hemoglobin (HbAlc), 25-hydroxyitamin D (25-OHD) level. NLR was calculated using the following formulas: NLR = Neutrophil count / lymphocyte count; Bone mineral density (BMD) of the lumbar vertebrae and the femoral neck was measured. The relationship between NLR and postmenopausal osteoporosis statistical methods was analyzed.

resultsAge, BMD, Albumin (ALB), Creatinine(CREA), Triglyceride (TG) and NLR level were different in the three groups (P<0.05). Logistic regression analysis showed that the age and NLR level were risk factors for postmenopausal osteoporosis.

conclusionsNLR level was strongly associated with BMD in the postmenopausal women without diabetes, suggesting that NLR could become a helpful clinical tool in the assessment of postmenopausal osteoporosis.

Indexed as

Bone mineral densityNeutrophil lymphocyte ratioOsteoporosisPostmenopausal

Identifiers

PMID27375729
PMCPMC4928438
OpenAlexW2417040142

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.