Evidence map›Paper›PMID 36923464›Full record

ArticleJournal of inflammation research2023

The Value of Peripheral Blood Cell Ratios in Primary Membranous Nephropathy: A Single Center Retrospective Study.

Ai-Hua Zhang, Guang-Xia Dai, Qi-Dong Zhang, Hong-Dong Huang, Wen-Hu Liu

Abstract read
In one paragraph

Article in Journal of inflammation research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Trial
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  5. Observational
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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

5 authors.

Ai-Hua ZhangNephrology Department, Capital Medical University Affiliated Beijing Friendship Hospital, Beijing, People's Republic of China.ORCID 0000-0001-6398-1318
Guang-Xia DaiEndocrinology Department, Beijing Nanyuan Hospital, Beijing, People's Republic of China.
Qi-Dong ZhangNephrology Department, Capital Medical University Affiliated Beijing Friendship Hospital, Beijing, People's Republic of China.
Hong-Dong HuangNephrology Department, Capital Medical University Affiliated Beijing Friendship Hospital, Beijing, People's Republic of China.
Wen-Hu LiuNephrology Department, Capital Medical University Affiliated Beijing Friendship Hospital, Beijing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Primary membranous nephropathy (PMN) is a common cause of nephrotic syndrome in adults. Forty percent of the patients continue to progress and eventually develop into chronic renal failure. Although phospholipase A2 receptor (PLA2R) is the major antigen of PMN, the clinical features do not often parallel with the antibody titers. Therefore, it is significant to find relative credible markers to predict the treatment response. Methods: One hundred and eighteen PMN patients were recruited. The response to treatment was defined as ALB≥30g/L at 6 months and complete remission (CR) or not at the end of the follow-up. Renal outcome endpoint was defined as 50% or more Cr increase at the end. Results: The patients with poor treatment effects had numerically higher platelet-lymphocytes ratio (PLR). For patients with CR or not, the difference was near to statistic significant ( Conclusion: PMN patients with poor treatment response tended to have higher PLR at the time of renal biopsy, and a higher MLR was associated with poor renal outcomes. Our findings suggested that PLR and MLR might be used to predict treatment efficacy and prognosis for PMN patients, respectively.

Indexed as

membranous nephropathymonocyte–lymphocyte ratiooutcomeperipheral blood cell ratiosplatelet-lymphocytes ratiotreatment response

Identifiers

PMID36923464
PMCPMC10010743

What OpenQuestion holds

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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.