Evidence map›Paper›PMID 37337179›Full record

ReviewJournal of biomedical science2023

Diagnosis of invasive fungal infections: challenges and recent developments.

Wenjie Fang, Junqi Wu, Mingrong Cheng, Xinlin Zhu, Mingwei Du, Chang Chen, Wanqing Liao, Kangkang Zhi, Weihua Pan

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of biomedical science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 182 papers.

0numbers the graph read from it
0cells of the map it votes in
182citing 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

182 citing papers in PubMed.

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  15. Observational
  16. Article
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  18. A review of bloodstream infections-pathogens, pathogenesis, diagnostic strategies, treatment methods-challenges and future aspects.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Review
  19. Review
  20. Article

122 more citing papers are in PubMed but not listed here.

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

9 authors.

Wenjie Fang *Department of Dermatology, Shanghai Key Laboratory of Molecular Medical Mycology, Second Affiliated Hospital of Naval Medical University, Shanghai, 200003, China.
Junqi Wu *Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China.
Mingrong Cheng *Department of Anorectal Surgery, The Third Affiliated Hospital of Guizhou Medical University, Guizhou, 558000, China.
Xinlin ZhuDepartment of Dermatology, Shanghai Key Laboratory of Molecular Medical Mycology, Second Affiliated Hospital of Naval Medical University, Shanghai, 200003, China.
Mingwei DuDepartment of Dermatology, Shanghai Key Laboratory of Molecular Medical Mycology, Second Affiliated Hospital of Naval Medical University, Shanghai, 200003, China.
Chang ChenDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China.
Wanqing LiaoDepartment of Dermatology, Shanghai Key Laboratory of Molecular Medical Mycology, Second Affiliated Hospital of Naval Medical University, Shanghai, 200003, China.
Kangkang ZhiDepartment of Vascular and Endovascular Surgery, Second Affiliated Hospital of Naval Medical University, Shanghai, 200003, China. kangkang_zhi@163.com.
Weihua PanDepartment of Dermatology, Shanghai Key Laboratory of Molecular Medical Mycology, Second Affiliated Hospital of Naval Medical University, Shanghai, 200003, China. panweihua9@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe global burden of invasive fungal infections (IFIs) has shown an upsurge in recent years due to the higher load of immunocompromised patients suffering from various diseases. The role of early and accurate diagnosis in the aggressive containment of the fungal infection at the initial stages becomes crucial thus, preventing the development of a life-threatening situation. With the changing demands of clinical mycology, the field of fungal diagnostics has evolved and come a long way from traditional methods of microscopy and culturing to more advanced non-culture-based tools. With the advent of more powerful approaches such as novel PCR assays, T2 Candida, microfluidic chip technology, next generation sequencing, new generation biosensors, nanotechnology-based tools, artificial intelligence-based models, the face of fungal diagnostics is constantly changing for the better. All these advances have been reviewed here giving the latest update to our readers in the most orderly flow. MAIN TEXT: A detailed literature survey was conducted by the team followed by data collection, pertinent data extraction, in-depth analysis, and composing the various sub-sections and the final review. The review is unique in its kind as it discusses the advances in molecular methods; advances in serology-based methods; advances in biosensor technology; and advances in machine learning-based models, all under one roof. To the best of our knowledge, there has been no review covering all of these fields (especially biosensor technology and machine learning using artificial intelligence) with relevance to invasive fungal infections.

conclusionThe review will undoubtedly assist in updating the scientific community's understanding of the most recent advancements that are on the horizon and that may be implemented as adjuncts to the traditional diagnostic algorithms.

Indexed as

Artificial IntelligenceInvasive Fungal InfectionsHumansPolymerase Chain ReactionCandidiasisDetectionFungal diagnosticsInvasive fungal infectionsMycologyPCR

Identifiers

PMID37337179
PMCPMC10278348

What OpenQuestion holds

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LicenceCC BY
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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.