Evidence map›Paper›PMID 38571832›Full record

ReviewCureus2024

Cryptococcosis and Cryptococcal Meningitis: A Narrative Review and the Up-to-Date Management Approach.

Zaheer A Qureshi, Haider Ghazanfar, Faryal Altaf, Ali Ghazanfar, Khushbu Z Hasan, Sameer Kandhi, Ked Fortuzi, Arundhati Dileep, Shitij Shrivastava

Open access · diamondAbstract readReview
In one paragraph

Review in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

9 citing papers in PubMed, 9 citations in OpenAlex.

  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 at 1 institution in 2 countries.

Zaheer A QureshiMedicine, Frank H. Netter MD School of Medicine, Quinnipiac University, Bridgeport, USA.
Haider GhazanfarInternal Medicine, BronxCare Health System, New York City, USA.
Faryal AltafInternal Medicine, BronxCare Health System, New York City, USA.
Ali GhazanfarInternal Medicine, Federal Medical and Dental College, Islamabad, PAK.
Khushbu Z HasanInternal Medicine, Mohtarma Benazir Bhutto Shaheed Medical College, Mirpur, PAK.
Sameer KandhiGastroenterology and Hepatology, BronxCare Health System, New York City, USA.
Ked FortuziInternal Medicine, BronxCare Health System, New York City, USA.
Arundhati DileepCritical Care Medicine, Montefiore Medical Center, Bronx, USA.
Shitij ShrivastavaInternal Medicine, BronxCare Health System, New York City, USA.
Montefiore Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cryptococcosis is a fungal infectious disease that enormously impacts human health worldwide. Cryptococcal meningitis is the most severe disease caused by the fungus Cryptococcus, and can lead to death, if left untreated. Many patients develop resistance and progress to death even after treatment. It requires a prolonged treatment course in people with AIDS. This narrative review provides an evidence-based summary of the current treatment modalities and future trial options, including newer ones, namely, 18B7, T-2307, VT-1598, AR12, manogepix, and miltefosine. This review also evaluated the management and empiric treatment of cryptococcus meningitis. The disease can easily evade diagnosis with subacute presentation. Despite the severity of the disease, treatment options for cryptococcosis remain limited, and more research is needed.

Indexed as

amphotericinantifungal therapyantiretroviral therapycryptococcosisencephalitisfluconazolehivimmunosuppressionmeningitispreventive and social medicine

Identifiers

PMID38571832
PMCPMC10990067
OpenAlexW4392380791

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.