Evidence map›Paper›PMID 35716342›Full record

ArticleInfection2022

Surgical site infections by atypical mycobacteria: prevalence and species characterization using MALDI-TOF and molecular LCD chip array.

Maha A Gad, Sahar M Khairat, Amira M A Salama, Omnia A Abd Elmoez, Noha S Soliman

Open access · hybridAbstract read
In one paragraph

Article in Infection, 2022. 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
0.8field-weighted citation impact, top 29% 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, 7 citations in OpenAlex.

  1. Diagnostic performance of MALDI-TOF MS for non-tuberculous mycobacteria: A systematic review and meta-analysis.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
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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

5 authors at 2 institutions in 1 country.

Maha A GadDepartment of Clinical and Chemical Pathology, Faculty of Medicine, Cairo University, Cairo, Egypt. maha.gad@kasralainy.edu.eg.ORCID http://orcid.org/0000-0002-7717-6747
Sahar M KhairatDepartment of Clinical and Chemical Pathology, Faculty of Medicine, Cairo University, Cairo, Egypt.
Amira M A SalamaDepartment of Clinical and Chemical Pathology, Faculty of Medicine, Cairo University, Cairo, Egypt.
Omnia A Abd ElmoezCentral Public Health Laboratories (CPHL), Ministry of Health, Cairo, Egypt.
Noha S SolimanDepartment of Clinical and Chemical Pathology, Faculty of Medicine, Cairo University, Cairo, Egypt.
Cairo University · EGMinistry of Health and Population · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSurgical site infection (SSI) is a post-operative complication of high concern with adverse impact on patient prognosis and public health systems. Recently, SSI pathogens have experienced a change in microbial profile with increasing reports of non-tuberculous mycobacteria (NTM) as important pathogens.

aimof the study The study aimed to detect the prevalence of NTM among cases with SSIs and describe their species using matrix-assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF MS) and PCR-based microarray.

methodsThe study was conducted with 192 pus samples collected from patients with SSI. Mycobacterial investigations were done in the form of Ziehl-Neelsen (ZN) smears for acid-fast bacilli, automated mycobacterial culture to isolate mycobacteria, followed by immunochromatography test to predict NTM. NTM-positive cultures were tested by MALDI -TOF MS and PCR-based microarray to reach species-level identification.

resultsMycobacterial growth was found in 11/192 samples (5.7%) and identified as 4 NTM and 7 M. tuberculosis isolates with prevalence of 2.1% and 3.64%, respectively. The NTM species were described by MALDI-TOF as M. abscessus, M. porcinum, M. bacteremicum, and M. gordonae. Microarray agreed with MALDI-TOF in identifying one isolate (M. abscessus), while two isolates were classified as belonging to broad groups and one isolate failed to be identified.

conclusionsThe prevalence of NTM among SSI was found to be low, yet have to be considered in the diagnosis of mycobacteria. Employing advanced technologies in diagnosis is recommended to guide for appropriate treatment.

Indexed as

Mycobacterium Infections, NontuberculousMycobacterium tuberculosisHumansNontuberculous MycobacteriaPrevalenceSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationSurgical Wound InfectionLCD arrayM. abscessus, M. porcinumMALDI-OF MSNon-tuberculous mycobacteriaSurgical site infections

Identifiers

PMID35716342
PMCPMC9705499
OpenAlexW4283070902

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Registered trials

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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.