Evidence map›Paper›PMID 36908596›Full record

ArticleFrontiers in neurology2023

Fibrinogen-to-albumin ratio percentage: An independent predictor of disease severity and prognosis in anti-N-methyl-D-aspartate receptor encephalitis.

Juan Du, Yingzhe Shao, Yajun Song, Kaixin Wang, Xuan Yang, Yanfei Li, Yaobing Yao, Zhe Gong, Yanjie Jia

Abstract read
In one paragraph

Article in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

9 authors.

Juan DuDepartment of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yingzhe ShaoDepartment of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yajun SongDepartment of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Kaixin WangDepartment of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xuan YangDepartment of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yanfei LiDepartment of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yaobing YaoDepartment of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Zhe GongDepartment of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yanjie JiaDepartment of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This retrospective study aimed to investigate the relationship between fibrinogen-to-albumin ratio percentage (FARP) and disease severity and prognosis in patients with anti-N-methyl-D-aspartate receptor (anti-NMDAR) encephalitis. Methods: Medical records and clinical characteristics from 181 patients with anti-NMDAR encephalitis were included. The modified Rankin Scale (mRS) was used to analyze disease severity and prognosis at admission and discharge, and correlations between FARP, disease severity, and prognosis were analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the efficiency of FARP in assessing disease severity and prognosis. Results: Compared to the control group, patients with anti-NMDAR encephalitis had higher fibrinogen (Fib) levels ( Conclusion: Our results indicate that FARP is a novel predictive marker for disease severity and prognosis of anti-NMDAR encephalitis.

Indexed as

albuminanti-NMDAR encephalitisdisease severityfibrinogenfibrinogen-to-albumin ratio percentageinflammationprognosis

Identifiers

PMID36908596
PMCPMC9998915

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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.