Evidence map›Paper›PMID 35633888›Full record

ArticleOxidative medicine and cellular longevity2022

Monocyte-to-Lymphocyte Ratio Was an Independent Factor of the Severity of Spinal Tuberculosis.

Liyi Chen, Chong Liu, Tuo Liang, Zhen Ye, Shengsheng Huang, Jiarui Chen, Xuhua Sun, Ming Yi, Jie Jiang, Tianyou Chen and 10 more

Abstract read
In one paragraph

Article in Oxidative medicine and cellular longevity, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–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

23 citing papers in PubMed.

  1. Article
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  4. Two-centers machine learning analysis for predicting acid-fast bacilli results in tuberculosis sputum tests.Journal of clinical tuberculosis and other mycobacterial diseases · 2025
    Article
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  20. Observational
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

20 authors.

Liyi ChenSpine and Osteopathy Ward, Guangxi Medical University First Affiliated Hospital, Nanning, Guangxi Province, China.
Chong LiuSpine and Osteopathy Ward, Guangxi Medical University First Affiliated Hospital, Nanning, Guangxi Province, China.
Tuo LiangSpine and Osteopathy Ward, Guangxi Medical University First Affiliated Hospital, Nanning, Guangxi Province, China.
Zhen YeSpine and Osteopathy Ward, Guangxi Medical University First Affiliated Hospital, Nanning, Guangxi Province, China.
Shengsheng HuangSpine and Osteopathy Ward, Guangxi Medical University First Affiliated Hospital, Nanning, Guangxi Province, China.
Jiarui ChenSpine and Osteopathy Ward, Guangxi Medical University First Affiliated Hospital, Nanning, Guangxi Province, China.
Xuhua SunSpine and Osteopathy Ward, Guangxi Medical University First Affiliated Hospital, Nanning, Guangxi Province, China.
Ming YiSpine and Osteopathy Ward, Guangxi Medical University First Affiliated Hospital, Nanning, Guangxi Province, China.
Jie JiangSpine and Osteopathy Ward, Guangxi Medical University First Affiliated Hospital, Nanning, Guangxi Province, China.
Tianyou ChenSpine and Osteopathy Ward, Guangxi Medical University First Affiliated Hospital, Nanning, Guangxi Province, China.
Hao LiSpine and Osteopathy Ward, Guangxi Medical University First Affiliated Hospital, Nanning, Guangxi Province, China.
Wuhua ChenSpine and Osteopathy Ward, Guangxi Medical University First Affiliated Hospital, Nanning, Guangxi Province, China.
Hao GuoSpine and Osteopathy Ward, Guangxi Medical University First Affiliated Hospital, Nanning, Guangxi Province, China.
Yuanlin YaoSpine and Osteopathy Ward, Guangxi Medical University First Affiliated Hospital, Nanning, Guangxi Province, China.
Shian LiaoSpine and Osteopathy Ward, Guangxi Medical University First Affiliated Hospital, Nanning, Guangxi Province, China.
Chaojie YuSpine and Osteopathy Ward, Guangxi Medical University First Affiliated Hospital, Nanning, Guangxi Province, China.
Shaofeng WuSpine and Osteopathy Ward, Guangxi Medical University First Affiliated Hospital, Nanning, Guangxi Province, China.
Binguang FanSpine and Osteopathy Ward, Guangxi Medical University First Affiliated Hospital, Nanning, Guangxi Province, China.
Zhaoping GanDepartment of Hematology, Guangxi Medical University First Affiliated Hospital, Nanning, Guangxi Province, China.ORCID https://orcid.org/0000-0002-0971-2659
Xinli ZhanSpine and Osteopathy Ward, Guangxi Medical University First Affiliated Hospital, Nanning, Guangxi Province, China.ORCID https://orcid.org/0000-0002-6936-481X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The purpose was to explore the relationship between monocyte-to-lymphocyte ratio (MLR) and the severity of spinal tuberculosis. Methods: A total of 1,000 clinical cases were collected, including 496 cases of spinal tuberculosis and 504 cases of nonspinal tuberculosis. Laboratory blood results were collected, including C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), white blood cells (WBC), hemoglobin (HGB), platelets (PLT), neutrophil count, percentage of neutrophils, lymphocyte count, percentage of lymphocytes, monocyte count, percentage of monocytes, MLR, platelets -to- monocyte ratio (PMR), platelets -to- lymphocyte ratio (PLR), neutrophil -to- lymphocyte ratio (NLR), and platelets -to- neutrophil ratio (PNR). The statistical parameters analyzed by the Least Absolute Shrinkage and Selection Operator (LASSO) and receiver-operating characteristic (ROC) curves were used to construct the nomogram. The nomogram was assessed by C-index, calibration curve, ROC curve, and decision curve analysis (DCA) curve. Results: The C-index of the nomogram in the training set and external validation set was 0.801 and 0.861, respectively. Similarly, AUC was 0.801 in the former and 0.861 in the latter. The net benefit of the former nomogram ranged from 0.1 to 0.95 and 0.02 to 0.99 in the latter nomogram. Furthermore, there was a correlation between MLR and the severity of spinal tuberculosis. Conclusion: MLR was an independent factor in the diagnosis of spinal tuberculosis and was associated with the severity of spinal tuberculosis. Additionally, MLR may be a predictor of active spinal tuberculosis.

Indexed as

MonocytesTuberculosis, SpinalHumansLeukocyte CountLymphocytesNeutrophils

Identifiers

PMID35633888
PMCPMC9142277

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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.