Evidence map›Paper›PMID 38098551›Full record

ArticleAnnals of medicine and surgery (2012)2023

Ronit Zoowa, Ravi Shah, Dipana Pradhan, Sammridhi Karmacharya, Dipen Bhandari

Erratum issuedOpen access · diamondAbstract readCase Reports
In one paragraph

Article in Annals of medicine and surgery (2012), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Ronit ZoowaNepalese Army Institute of Health Sciences, Sanobharyang.
Ravi ShahNepalese Army Institute of Health Sciences, Sanobharyang.
Dipana PradhanDevdaha Medical College, Devdaha, Rupandehi, Nepal.
Sammridhi KarmacharyaNepalese Army Institute of Health Sciences, Sanobharyang.
Dipen BhandariShree Birendra Hospital, Chhauni, Kathmandu.
Nepalese Army Institute of Health Services · NPBir Hospital · NP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction and importance: Paroxysmal nocturnal hemoglobinuria (PNH) is a rare disorder caused by a somatic mutation of PIGA (phosphatidylinositol glycan anchor biosynthesis, class A) gene that leads to the destruction of blood cells. Allogeneic haematopoietic stem cell transplant (HSCT) is a treatment option for PHN, but it can cause graft-versus-host disease (GVHD). Long-term immunosuppression as a treatment of GVHD increases the risk for invasive fungal infections such as Case presentation: We present the case of a 22-year-old male with Discussion: The combination of PNH, GVHD, and HSCT created an immunocompromised state, making the patient susceptible to opportunistic infections, including fungal pneumonia. Early recognition of this condition is challenging due to its non-specific symptoms and potential overlap with other post-transplant complications. Timely diagnosis and appropriate treatment, including antifungal therapy and immunosuppression management, are crucial for optimising patient outcomes. Conclusion: This case highlights the importance of early recognition and timely treatment of fungal infections in patients with severe conditions such as GVHD following HSCT for PNH. Timely treatment with appropriate antifungals is necessary for optimal outcomes. Additionally, more research with long-term follow-up and monitoring is necessary to address the necessary knowledge gaps in this field.

Indexed as

Candidacase reporthematopoietic stem cell transplantationparoxysmal nocturnal hemoglobinuriapneumonia

Identifiers

PMID38098551
PMCPMC10718395
OpenAlexW4387572219

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.