Evidence map›Paper›PMID 36969669›Full record

Observational studyFrontiers in public health2023

Characterization and susceptibility of non-albicans

Rola Husni, Maroun Bou Zerdan, Nadia Samaha, Mariana Helou, Youssef Mahfouz, Rim Saniour, Sawsan Hourani, Harout Kolanjian, Claude Afif, Eid Azar and 10 more

Open access · goldFull text readObservational Study
In one paragraph

Observational study in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.7field-weighted citation impact, top 4% 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

18 citing papers in PubMed, 24 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Blood Stream Infections due toInternational journal of microbiology · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. mSphere · 2024
    Article
  17. Article
  18. 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

20 authors at 10 institutions in 2 countries.

Rola HusniLebanese American University, School of Medicine, Beirut, Lebanon.
Maroun Bou ZerdanDepartment of Internal Medicine, SUNY Upstate Medical University Hospital, Syracuse, NY, United States.
Nadia SamahaGeorgetown University School of Medicine, Washington, DC, United States.
Mariana HelouLebanese American University, School of Medicine, Beirut, Lebanon.
Youssef MahfouzFaculty of Medicine and Medical Sciences, University of Balamand, Tripoli, Lebanon.
Rim SaniourFaculty of Medicine and Medical Sciences, University of Balamand, Tripoli, Lebanon.
Sawsan HouraniFaculty of Medicine and Medical Sciences, University of Balamand, Tripoli, Lebanon.
Harout KolanjianLebanese American University, School of Medicine, Beirut, Lebanon.
Claude AfifDepartment of Internal Medicine, Saint George Hospital-University Medical Center, Beirut, Lebanon.
Eid AzarDepartment of Internal Medicine, Saint George Hospital-University Medical Center, Beirut, Lebanon.
Tamima El JisrDepartment of Laboratory, Makased General Hospital, Beirut, Lebanon.
Jacques MokhbatLebanese American University, School of Medicine, Beirut, Lebanon.
Emma AbboudDepartment of Laboratory, Mount Liban Hospital, Hazmiyeh, Lebanon.
Rita FeghaliDepartment of Laboratory, Rafic Hariri University Hospital, Beirut, Lebanon.
Edmond AbboudDepartment of Laboratory, The Middle East Institute of Health University Hospital, Mount Lebanon, Lebanon.
Hiam MattaSaint Georges Ajaltoun Hospital, Ajaltoun, Lebanon.
Gilbert KarayakoubogloHaykal Hospital, Tripoli, Lebanon.
Madonna MatarDepartment of Internal Medicine, Notre Dame de Secours University Hospital, Byblos, Lebanon.
Rima MoghniehLebanese American University, School of Medicine, Beirut, Lebanon.
Ziad DaoudCollege of Medicine, Central Michigan University, Saginaw, MI, United States.
Lebanese American University · LBSaint George Hospital · LBUniversity of Balamand · LBMiddle East University · LBCentral Michigan University · USCentre Hospitalier Universitaire Notre Dame des Secours · LBGeorgetown University · USMakassed General Hospital · LBRafik Hariri University Hospital · LBSUNY Upstate Medical University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Invasive fungal infections have presented a challenge in treatment. In the past, it was known that the frontrunner in such infections is Methods: This is a two-year observational multi-central descriptive study. Between September 2016 and May of 2018, a total of 1000 isolates were collected from 10 different hospitals distributed all over the country. For the culture, Sabouraud Dextrose Agar was used. Antifungal Susceptibility was evaluated by determining the Minimum Inhibitory Concentration (MIC) in broth (microdilution) of the different antifungal treatments. Results: Out of the 1000 collected isolates, Conclusion: The change of etiology of fungal infections involving a significant increase in NAC cases is alarming due to the different antifungal susceptibility patterns and the lack of local guidelines to guide the treatment. In this context, proper identification of such organisms is of utmost importance. The data presented here can help in establishing guidelines for the treatment of candida infections to decrease morbidity and mortality. Future surveillance data are needed.

Indexed as

Antifungal AgentsMycosesCandidaHospitalsHumansMicrobial Sensitivity TestsAntifungal Agentsfungal infectioninfectionmicrobiologynon-albicans Candidapathogens

Identifiers

PMID36969669
PMCPMC10036786
OpenAlexW4323858408

What OpenQuestion holds

Textfull text, public
LicenceCC BY
reference markers read1
measurements read334
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.