Evidence map›Paper›PMID 32636938›Full record

ArticleDiabetology & metabolic syndrome2020

Association between neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and diabetic retinopathy among diabetic patients without a related family history.

Jin-Rui Wang, Zhongli Chen, Ke Yang, Hui-Jun Yang, Wen-Yu Tao, Yi-Ping Li, Ze-Jia Jiang, Chao-Fang Bai, Yue-Chuan Yin, Jian-Mei Duan and 3 more

Open access · goldAbstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 3 pooled it
3.6field-weighted citation impact, top 5% 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

52 citing papers in PubMed, 3 syntheses or guidelines pooled it, 73 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

13 authors at 3 institutions in 1 country.

Jin-Rui Wang *Department of Endocrinology and Metabolism, The Second People's Hospital of Yunnan Province, Fourth Affiliated Hospital of Kunming Medical University, Kunming, 650021 China.
Zhongli Chen *Department of Cardiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 200001 Shanghai, China.
Ke YangDepartment of Cardiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 200001 Shanghai, China.
Hui-Jun YangDepartment of Endocrinology and Metabolism, The Second People's Hospital of Yunnan Province, Fourth Affiliated Hospital of Kunming Medical University, Kunming, 650021 China.
Wen-Yu TaoDepartment of Endocrinology and Metabolism, The Second People's Hospital of Yunnan Province, Fourth Affiliated Hospital of Kunming Medical University, Kunming, 650021 China.
Yi-Ping LiDepartment of Endocrinology and Metabolism, The Second People's Hospital of Yunnan Province, Fourth Affiliated Hospital of Kunming Medical University, Kunming, 650021 China.
Ze-Jia JiangThe Second People's Hospital of Qujing City, Yunnan Qujing, 655000 China.
Chao-Fang BaiDepartment of Endocrinology and Metabolism, The Second People's Hospital of Yunnan Province, Fourth Affiliated Hospital of Kunming Medical University, Kunming, 650021 China.
Yue-Chuan YinDepartment of Endocrinology and Metabolism, The Second People's Hospital of Yunnan Province, Fourth Affiliated Hospital of Kunming Medical University, Kunming, 650021 China.
Jian-Mei DuanDepartment of Endocrinology and Metabolism, The Second People's Hospital of Yunnan Province, Fourth Affiliated Hospital of Kunming Medical University, Kunming, 650021 China.
Yuan-Yuan ZhouDepartment of Endocrinology and Metabolism, The Second People's Hospital of Yunnan Province, Fourth Affiliated Hospital of Kunming Medical University, Kunming, 650021 China.
Xin-Qian GengDepartment of Endocrinology and Metabolism, The Second People's Hospital of Yunnan Province, Fourth Affiliated Hospital of Kunming Medical University, Kunming, 650021 China.
Ying YangDepartment of Endocrinology and Metabolism, The Second People's Hospital of Yunnan Province, Fourth Affiliated Hospital of Kunming Medical University, Kunming, 650021 China.ORCID 0000-0001-5753-7106
Kunming Medical University · CNRuijin Hospital · CNSecond People's Hospital of Yunnan Province · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetic retinopathy (DR) is a specific neurovascular complication of diabetes mellitus (DM). Clinically, family history is a widely recognized risk factor for DR, assisting diagnosis and risk strata. However, among a great amount of DR patients without hereditary history like hypertension and diabetes, direct and simple risk factors to assist clinical decisions are still required. Herein, we intend to investigate the associated risk factors for these DR patients based on systemic inflammatory response indexes, neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR).

methodsWe consecutively enrolled 1030 patients with a definite diagnosis of type 2 diabetes mellitus (T2DM) from the endocrinology department of the Second hospital of People in Yun Nan. Based on funduscopy and family history checking, we excluded patients with a family history of hypertension and diabetes and finally enrolled 264 patients with DR and 206 patients with non-diabetic retinopathy (NDR). Through correlation analysis, univariate and multivariate regression, we further explore the association between NLR, PLR, and DR. On top of that, we investigate the effect of NLR and PLR on risk reclassification of DR.

resultsCompared with NDR patients, NLR and PLR levels are significantly higher among DR patients (NLR: 2.36 ± 1.16 in DR group versus 1.97 ± 1.06 in NDR group, p < 0.001; PLR: 11.62 ± 4.55 in DR group versus10.56 ± 4.45 in NDR group, p = 0.012). According to univariate analysis, NLR and PLR add risks to DR. After fully adjusting co-founders, NLR, as both continuous and categorical variate, remains an independent risk factor for DR (OR (95%CI): 1.37 (1.06, 1.78) P = 0.018). And though PLR was not independently associated with DR as a continuous variable (OR (95%CI) 1.05 (0.99, 1.11) p = 0.135), the highest quantile of PLR add two-fold increased risk (OR (95%CI) 2.20 (1.05, 4.59) p = 0.037) in the fully adjusted model for DR. In addition, addition of PLR and NLR to the established factor hemoglobin (Hb) improved the discriminability of the model and assisted the reclassification of DR. After combining PLR and NLR the Area under curve (AUC) of Hb based model raised from 0.76 to 0.78, with a category-free net reclassification improvement (NRI) of 0.532 (p < 0.001) and integrated discrimination improvement (IDI) of 0.029 (p < 0.001).

conclusionsSystemic inflammatory response indexes NLR and PLR were associated with the presence of DR among patients without associated family history and contributed to improvements in reclassification of DR in addition to Hb.

Indexed as

Diabetic retinopathyFamily historyHemoglobinNeutrophil-to-lymphocyte ratioPlatelet-to-lymphocyte ratioType 2 diabetes mellitus

Identifiers

PMID32636938
PMCPMC7331251
OpenAlexW3038556289

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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.