Evidence map›Paper›PMID 31719727›Full record

ArticleMedical journal, Armed Forces India2019

β-d-Glucan and

Mahadevan Kumar, M Mugunthan

Abstract read
In one paragraph

Article in Medical journal, Armed Forces India, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 46% 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, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. The burden of serious fungal infections in Azerbaijan.Therapeutic advances in infectious disease
    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

2 authors at 1 institution in 1 country.

Mahadevan KumarProfessor, Department of Microbiology, Armed Forces Medical College, Pune 411040, India.
M MugunthanResident, Department of Microbiology, Armed Forces Medical College, Pune 411040, India.
Armed Forces Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith an increase in the number of patients who are immunosuppressed or immunocompromised there has been an increase in invasive fungal infection (IFI) in the past few decades with its associated high morbidity and mortality, ranging from 60% to 90%. The critical problem is the identification of the causative fungus and initiation of appropriate therapy. Hence, there is a requirement for better diagnostic methods for IFI. Detection of markers for the presence of fungi during early stage of the infection, such as constituents of the cell wall or fungal DNA, is essential for timely diagnosis of IFI. Galactomannan (GM) which is a cell wall surface antigen is the most studied diagnostic marker, followed by 1,3 β-d-Glucan (BG) which is seen in deep layers of cell wall.

methodsWe have assessed the effectiveness of Galactomannan/β-d-Glucan for the early diagnosis of IFI in immunosuppressed patients in our tertiary care setting.

resultsThe sensitivity, specificity, positive predictive value and negative predictive value of GM assay were 45%, 93%, 86% and 63% respectively, while the BG assay showed a sensitivity of 78%, specificity of 85%, Positive predictive value (PPV) 84% and Negative predictive value (NPV) 79%.

conclusionBG assay is better for detection of IFI in patients with immunosuppression. However, a combination of both BG and GM assays would be the best approach as BG assay is highly sensitive, while the GM assay is highly specific for diagnosing IFI.

Indexed as

Antigen detection assaysGalactomannanInvasive fungal infectionsβ-d-Glucan

Identifiers

PMID31719727
PMCPMC6838501
OpenAlexW2770337255

What OpenQuestion 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 OpenQuestion graph.