Evidence map›Paper›PMID 38289535›Full record

ReviewJournal of neurology2024

Clinical treatment of cryptococcal meningitis: an evidence-based review on the emerging clinical data.

Mao-Zhu Liu, Xin-Hua Dai, Ming-Tang Zeng, En-Qiang Chen

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
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

4 authors at 1 institution in 1 country.

Mao-Zhu Liu *Center of Infectious Diseases, West China Hospital, Sichuan University, No.37 Guo Xue Xiang, Wuhou District, Chengdu, 610041, China.
Xin-Hua Dai *Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China.
Ming-Tang Zeng *Department of Pharmacy, West China Hospital, Sichuan University, Chengdu, 610041, China.
En-Qiang ChenCenter of Infectious Diseases, West China Hospital, Sichuan University, No.37 Guo Xue Xiang, Wuhou District, Chengdu, 610041, China. chenenqiang1983@hotmail.com.ORCID http://orcid.org/0000-0002-8523-1689
Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cryptococcal meningitis (CM) is a fatal fungal central nervous system (CNS) infection caused by Cryptococcus infecting the meninges and/or brain parenchyma, with fever, headache, neck stiffness, and visual disturbances as the primary clinical manifestations. Immunocompromised individuals with human immunodeficiency virus (HIV) infection or who have undergone organ transplantation, as well as immunocompetent people can both be susceptible to CM. Without treatment, patients with CM may have a mortality rate of up to 100% after hospital admission. Even after receiving therapy, CM patients may still suffer from problems such as difficulty to cure, poor prognosis, and high mortality. Therefore, timely and effective treatment is essential to improve the mortality and prognosis of CM patients. Currently, the clinical outcomes of CM are frequently unsatisfactory due to limited drug choices, severe adverse reactions, drug resistance, etc. Here, we review the research progress of CM treatment strategies and discuss the suitable options for managing CM, hoping to provide a reference for physicians to select the most appropriate treatment regimens for CM patients.

Indexed as

Antifungal AgentsMeningitis, CryptococcalEvidence-Based MedicineHumansAntifungal AgentsAntifungal agentsCryptococcal meningitisIncreased intracranial pressureTreatment

Identifiers

PMID38289535
OpenAlexW4391353404

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.