Evidence map›Paper›PMID 38577704›Full record

ArticleBioMed research international2024

Antimicrobial Resistance Patterns in Patients with Vaginal Discharge: A 2019-2022 Analysis at the National Health Laboratory in Eritrea.

Khalid Hussein, Berhe Tesfai, Okbu Frezgi, Hagos Hayelom, Yosan Gebremeskel, Azania Werede, Hailemichael Gebremariam, Fitsum Kibreab, Mohammed Elfatih Hamida

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 1 institution in 1 country.

Khalid HusseinDepartment of Obstetrics and Gynecology, Orotta College of Medicine and Health Sciences, Orotta National Referral Maternity Hospital, Ministry of Health, Asmara, Eritrea.ORCID https://orcid.org/0009-0008-9889-2591
Berhe TesfaiDepartment of Obstetrics and Gynecology, Orotta College of Medicine and Health Sciences, Orotta National Referral Maternity Hospital, Ministry of Health, Asmara, Eritrea.ORCID https://orcid.org/0000-0003-1820-7395
Okbu FrezgiDepartment of Obstetrics and Gynecology, Orotta College of Medicine and Health Sciences, Orotta National Referral Maternity Hospital, Ministry of Health, Asmara, Eritrea.
Hagos HayelomMicrobiology Department, National Health Laboratory, Ministry of Health, Asmara, Eritrea.
Yosan GebremeskelMicrobiology Department, National Health Laboratory, Ministry of Health, Asmara, Eritrea.
Azania WeredeNational Medicines and Food Administration, Ministry of Health, Asmara, Eritrea.
Hailemichael GebremariamDekemhare Hospital, Zoba Debub, Ministry of Health, Dekemhare, Eritrea.
Fitsum KibreabMinistry of Health, Division of the Center for Health Research and Resources, Asmara, Eritrea.
Mohammed Elfatih HamidaUnit of Medical Microbiology, Orotta College of Medicine and Health Sciences, Asmara, Eritrea.ORCID https://orcid.org/0000-0002-5337-399X
University of Asmara · ER

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Antimicrobial resistance poses a significant global threat to the treatment of bacterial infections, particularly in low- and middle-income regions such as Africa. This study is aimed at analyzing antimicrobial resistance patterns in vaginal swab samples from patients at the National Health Laboratory from 2019 to 2022. Methods: This retrospective study examined patient records from vaginal swab analyses performed at the National Health Laboratory between January 1, 2019, and December 31, 2022. Ethical approval was obtained from the Ministry of Health Research Ethical Approval and Clearance Committee on 15/02/2023. Results: Of the 622 samples, 83% underwent microbial isolation and identification. Conclusion: Most gram-negative bacteria displayed higher resistance of >45% to ampicillin, trimethoprim-sulfamethoxazole, and tetracycline. Among gram-positive bacteria, a higher resistance rate with ampicillin, trimethoprim-sulfamethoxazole, tetracycline, oxacillin, vancomycin, and penicillin G was recorded.

Indexed as

Anti-Bacterial AgentsVaginal DischargeAmpicillinClindamycinDrug Resistance, BacterialEritreaEscherichia coliFemaleGram-Positive BacteriaHumansMicrobial Sensitivity TestsOxacillinPenicillin GRetrospective StudiesRifampinStaphylococcus aureusAmpicillinAnti-Bacterial AgentsClindamycinOxacillinPenicillin GRifampinTetracyclineTrimethoprim, Sulfamethoxazole Drug CombinationVancomycin

Identifiers

PMID38577704
PMCPMC10994703
OpenAlexW4393251825

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.