Evidence map›Paper›PMID 42666867›Full record

ReviewBrain circulation

Pathogenesis and management of idiopathic intracranial hypertension: A narrative review.

Yuanyuan Liu, Xiao Dong, Xi Chen, Simiao Zhang, Xuehong Chu, Wanwan Zhang, Erlan Yu, Xiaole Jia, Chuanjie Wu, Xunming Ji

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Brain circulation. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Yuanyuan LiuDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Xiao DongDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Xi ChenDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Simiao ZhangDepartment of Neurology, Shengjing Hospital of China Medical University, Shenyang, China.
Xuehong ChuDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Wanwan ZhangDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Erlan YuDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Xiaole JiaDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Chuanjie WuDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Xunming JiDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Idiopathic intracranial hypertension (IIH) is a disease that predominantly affects obese women of reproductive age. As obesity rates increase globally, the incidence of this disease is also on the rise. Elevated intracranial pressure without secondary etiology is the main diagnostic feature of this disorder; however, little is known about its underlying pathophysiologic mechanisms. Headache, blurred vision, and pulsatile tinnitus are its main clinical features. With increasing evidence that IIH is a systemic metabolic disorder, many studies targeting the metabolism of patients with IIH continue to emerge, aiming to provide more therapeutic options for patients with IIH. In this review, we highlight recent advances regarding the pathogenesis and treatment of IIH in adults. Finally, we briefly discuss future research directions.

Indexed as

Alternative therapeuticsglucagon-like peptide-1 receptor agonistsidiopathic intracranial hypertensionobesityweight loss

Identifiers

PMID42666867
PMCPMC13524410

What OpenQuestion holds

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Registered trials

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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.