Evidence map›Paper›PMID 38787405›Full record

ArticleArchives of dermatological research2024

Evaluation of the inflammatory parameters as potential biomarkers of systemic inflammation extent and the disease severity in psoriasis patients.

Ying Zhang, Hua Qian, Ye-Hong Kuang, Ying Wang, Wang-Qing Chen, Wu Zhu

Abstract read
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In one paragraph

Article in Archives of dermatological research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

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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

6 authors.

Ying ZhangThe Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Hua QianThe Department of Dermatology, Children's Hospital of Soochow University, Suzhou, Jiangsu, China.
Ye-Hong KuangThe Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Ying WangThe Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Wang-Qing ChenThe Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, China. lanchen2008@163.com.
Wu ZhuThe Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, China. zhuwuxy@csu.edu.cn.

Funding

Grants from National Natural Science Foundation of China 82173426
6 · The paper itself

Abstract

The disease severity of psoriasis is mainly assessed subjectively via  psoriasis area and severity index (PASI) and body surface area (BSA), while an optimal measure of cutaneous response, may overlook systemic inflammation in psoriasis patients. The neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), monocyte to lymphocyte ratio (MLR), monocyte to high density lipoprotein ratio (MHR), and systemic immune-inflammation index (SII) exhibit notable associations with the inflammation severity in multiple diseases. The aim of this retrospective study was to explore the associations between inflammatory parameters and the skin lesions' severity of psoriasis. After analysis, we found that patients with psoriasis had higher NLR, MLR, PLR, MHR, and SII levels compared to the control group. At baseline, the parameters of NLR (r = 0.124, P = 0.003), MLR (r = 0.153, P < 0.001), MHR (r = 0.217, P < 0.001) and SII (r = 0.141, P = 0.001) had a positive correlation with PASI in psoriasis patients. At the same time, we analyzed the patients who received different systemic therapy. We observed a significant decrease in NLR, PLR, MLR, and SII in psoriasis patients after treatment. Notably, TNF-α inhibitors and IL-17A inhibitors subgroups showed a more significant reduction than IL-23/IL-12/23 inhibitors and MTX medication. Additionally, we found the change of NLR (r = 0.194, P < 0.001), PLR (r = 0.104, P = 0.014), MLR (r = 0.191, P < 0.001), MHR (r = 0.106, P = 0.012), and SII (r = 0.228, P < 0.001) had a positive correlation with the change of PASI in psoriasis patients. In conclusion, this study suggests that NLR, MLR, and SII may serve as useful biomarkers for assessing systemic inflammation extent and disease severity in psoriasis patients.

Indexed as

BiomarkersInflammationNeutrophilsPsoriasisSeverity of Illness IndexAdultAgedBlood PlateletsFemaleHumansLymphocytesMaleMiddle AgedMonocytesRetrospective StudiesBiomarkersMonocyte to high density lipoprotein ratio (MHR)Monocyte to lymphocyte ratio (MLR)Neutrophil to lymphocyte ratio (NLR)Platelet to lymphocyte ratio (PLR)Psoriasis vulgaris (PsV)Psoriatic arthritis (PsA)Systemic immune-inflammation index (SII)

Identifiers

PMID38787405

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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.