Evidence map›Paper›PMID 26619325›Full record

ArticleCancer biology & therapy2016

Identification of fungal pathogens in a patient with acute myelogenic leukemia using a pathogen detection array technology.

Sagarika Banerjee, Kristen N Peck, Michael D Feldman, Mindy G Schuster, James C Alwine, Erle S Robertson

Open access · bronzeAbstract read
In one paragraph

Article in Cancer biology & therapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 36% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Sagarika Banerjeea Department of Microbiology , University of Pennsylvania , Philadelphia , PA , USA.
Kristen N Pecka Department of Microbiology , University of Pennsylvania , Philadelphia , PA , USA.
Michael D Feldmanb Department of Pathology and Laboratory Medicine , University of Pennsylvania , Philadelphia , PA , USA.
Mindy G Schusterc Infectious Diseases Division, University of Pennsylvania , Philadelphia , PA , PA , USA.
James C Alwined Department of Cancer Biology , University of Pennsylvania , Philadelphia , PA , USA.
Erle S Robertsona Department of Microbiology , University of Pennsylvania , Philadelphia , PA , USA.
University of Pennsylvania · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Invasive zygomycosis in immunocompromised patients results in a high mortality rate, and early identification is crucial to optimize therapy and to reduce morbidity. However, diagnosing specific species of zygomycetes fungi possess challenge in the clinical laboratories. A need for a rapid and sensitive diagnostic tool for early recognition of a zygomycetes fungus in clinical samples to the species level will lead to prompt and accurate therapy and the PathoChip provides one such platform. We utilized a pathogen array technology referred to as PathoChip, comprised of oligonucleotide probes that can detect all the sequenced viruses as well as known pathogenic bacteria, fungi and parasites and family-specific conserved probes, thus providing a means for detecting previously uncharacterized members of a family. We rapidly identified a zygomycetous fungus, Rhizomucor pusillus, an otherwise challenge for the clinical laboratories, predominantly in a patient with acute myelogenous leukemia. This report highlights the value of PathoChip as a diagnostic tool to identify micro-organisms to the species level, especially for those difficult to identify in most clinical laboratories. It will also help clinicians to obtain a critical snapshot of the infection profile of a patient to plan treatment strategies.

Indexed as

FungiHumansLeukemia, Myeloid, AcuteZygomycosisAcute myelogenous leukemiadiagnosticopportunistic fungal infectionpan-pathogen arrayPathoChipRhizomucorzygomycete

Identifiers

PMID26619325
PMCPMC4910928
OpenAlexW2181693984

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.