Evidence map›Paper›PMID 37801397›Full record

ReviewExpert review of molecular diagnostics

An update on current and novel molecular diagnostics for the diagnosis of invasive fungal infections.

Jeffrey D Jenks, P Lewis White, Sarah E Kidd, Tyler Goshia, Stephanie I Fraley, Martin Hoenigl, George R Thompson

Open access · greenAbstract readReview
In one paragraph

Review in Expert review of molecular diagnostics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
8.0field-weighted citation impact, top 2% 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

42 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Mixed InvasiveRespirology case reports · 2026
    Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Review of the Microbial Spectrum of Mixed Respiratory Fungal Infections.Journal of epidemiology and global health · 2026
    Review
  10. Review
  11. Article
  12. Review
  13. Diagnostics (Basel, Switzerland) · 2026
    Article
  14. Article
  15. Article
  16. Rapid and simultaneous detection ofFrontiers in cellular and infection microbiology · 2026
    Article
  17. Article
  18. Article
  19. Article
  20. Review
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

7 authors at 6 institutions in 4 countries.

Jeffrey D JenksDurham County Department of Public Health, Durham, North Carolina, USA.
P Lewis WhitePublic Health Wales Microbiology Cardiff, UHW, United Kingdom and Centre for trials research/Division of Infection/Immunity, Cardiff University, Cardiff, UK.
Sarah E KiddNational Mycology Reference Centre, SA Pathology, Adelaide, Australia.ORCID 0000-0002-5957-4178
Tyler GoshiaDepartment of Bioengineering, University of California, San Diego, CA, USA.
Stephanie I FraleyDepartment of Bioengineering, University of California, San Diego, CA, USA.
Martin HoeniglDivision of Infectious Diseases, Medical University of Graz, Graz, Austria.
George R ThompsonUniversity of California Davis Center for Valley Fever, Sacramento, CA, USA.
University of California San Diego · USDuke University · USMedical University of Graz · ATPublic Health Wales · GBSouth Australia Pathology · AUUniversity of California Davis Medical Center · US

Funding

Digital High Resolution Melt and Machine Learning for Rapid and Specific Diagnosis in Neonatal SepsisR01AI134982 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FRALEY, STEPHANIE IRENE · 2018 to 2022
$2.3M
NIAID NIH HHS R01 AI134982
6 · The paper itself

Abstract

backgroundInvasive fungal infections cause millions of infections annually, but diagnosis remains challenging. There is an increased need for low-cost, easy to use, highly sensitive and specific molecular assays that can differentiate between colonized and pathogenic organisms from different clinical specimens. AREAS COVERED: We reviewed the literature evaluating the current state of molecular diagnostics for invasive fungal infections, focusing on current and novel molecular tests such as polymerase chain reaction (PCR), digital PCR, high-resolution melt (HRM), and metagenomics/next generation sequencing (mNGS). EXPERT OPINION: PCR is highly sensitive and specific, although performance can be impacted by prior/concurrent antifungal use. PCR assays can identify mutations associated with antifungal resistance, non-Aspergillus mold infections, and infections from endemic fungi. HRM is a rapid and highly sensitive diagnostic modality that can identify a wide range of fungal pathogens, including down to the species level, but multiplex assays are limited and HRM is currently unavailable in most healthcare settings, although universal HRM is working to overcome this limitation. mNGS offers a promising approach for rapid and hypothesis-free diagnosis of a wide range of fungal pathogens, although some drawbacks include limited access, variable performance across platforms, the expertise and costs associated with this method, and long turnaround times in real-world settings.

Indexed as

Invasive Fungal InfectionsMycosesAntifungal AgentsFungiHumansPathology, MolecularSensitivity and SpecificityAntifungal Agentsdigital PCRhigh resolution meltinvasive fungal diseasemetagenomicsMolecular diagnosticsnext-generation sequencingPCRpolymerase chain reaction

Identifiers

PMID37801397
PMCPMC10842420
OpenAlexW4387397825

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.