Evidence map›Paper›PMID 22219607›Full record

ArticleJournal of Korean medical science2012

Real-time nucleic acid sequence-based amplification to predict the clinical outcome of invasive aspergillosis.

Si-Hyun Kim, Chulmin Park, Eun-Young Kwon, Na-Young Shin, Jae-Cheol Kwon, Sun Hee Park, Su-Mi Choi, Dong-Gun Lee, Jung-Hyun Choi, Jin-Hong Yoo

Abstract read
In one paragraph

Article in Journal of Korean medical science, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Identification of Mycoses in Developing Countries.Journal of fungi (Basel, Switzerland) · 2019
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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

10 authors.

Si-Hyun KimDivision of Infectious Diseases, Department of Internal Medicine, The Catholic University of Korea College of Medicine, Seoul, Korea.
Chulmin Park
Eun-Young Kwon
Na-Young Shin
Jae-Cheol Kwon
Sun Hee Park
Su-Mi Choi
Dong-Gun Lee
Jung-Hyun Choi
Jin-Hong Yoo

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monitoring the response to therapy for invasive aspergillosis (IA) is essential for the management of patients with hematologic diseases. We evaluated the correlation between the outcome of real-time nucleic acid sequence-based amplification (RTi-NASBA) for Aspergillus 18S rRNA and the clinical outcome of IA. A total of 157 serum samples from 29 patients with IA were tested for RTi-NASBA. The treatment response and mortality were compared with the NASBA outcome (whether the NASBA value was converted to negative or not) at 12 weeks after the start of antifungal therapy. At 12 weeks, there was a moderate correlation between the treatment failure and persistently positive NASBA (κ = 0.482; P = 0.019). Deaths attributable to IA were more prevalent in patients without negative conversion of NASBA than in those with negative conversion (50% vs 5%; P = 0.013). Significant factors of treatment failure at 12 weeks were the status of hematologic disease (nonremission; P = 0.041) and the NASBA outcome (failure of negative conversion; P = 0.024). Survival was significantly better in patients with negative conversion of NASBA than those with persistently positive values (P = 0.036). This study suggests that the serial monitoring of RTi-NASBA could be useful for prediction of the clinical outcome in hematologic patients with IA.

Indexed as

Real-Time Polymerase Chain ReactionAdolescentAdultAgedAntifungal AgentsAspergillosisAspergillusBase SequenceFemaleHumansLungMaleMiddle AgedPredictive Value of TestsRetrospective StudiesRNA, Ribosomal, 18SAntifungal AgentsRNA, Ribosomal, 18SAspergillosisNucleic Acid Sequence-Based AmplificationTreatment Outcome

Identifiers

PMID22219607
PMCPMC3247764

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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.