Evidence map›Paper›PMID 30203185›Full record

ArticleParasitology research2018

Strongyloides stercoralis larvae found for the first time in tap water using a novel culture method.

Ayman A El-Badry, Doaa A Hamdy, Wegdan M Abd El Wahab

Abstract read
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In one paragraph

Article in Parasitology research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 34% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Seroprevalence and Associated Factors of Anti-Pathogens (Basel, Switzerland) · 2026
    Article
  2. Article
  3. A Review ofPathogens (Basel, Switzerland) · 2019
    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

3 authors at 2 institutions in 2 countries.

Ayman A El-BadryDepartment of Microbiology-Medical Parasitology Section, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Doaa A HamdyDepartment of Medical Parasitology, College of Medicine, Beni-Suef University, Beni-Suef, Egypt.
Wegdan M Abd El WahabDepartment of Medical Parasitology, College of Medicine, Beni-Suef University, Beni-Suef, Egypt. wegdanmabdelwahab@gmail.com.
Beni-Suef University · EGImam Abdulrahman Bin Faisal University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Strongyloides stercoralis (S. stercoralis) is a soil-borne helminth but its prevalence in water samples is underestimated. The aim of the present study is to propose non-nutrient agar (NNA) as a novel culture method in the diagnosis of Strongyloides and to detect the prevalence rate of S. stercoralis larvae in tap water samples in Beni-Suef Governorate, Egypt. Eighty tap water samples were collected from Beni-Suef Governorate and each sample was filtered in three steps using three filters: one filter for microscopic examination of wet mount, while the remaining two filters were cultured on both NNA and nutrient agar plate (APC). S. stercoralis larvae, adults, and eggs were detected in two (2.5%) and four (5%) out of 80 samples after examination of wet mount preparation and cultures on both NNA and APC, respectively. NNA succeeded to maintain Strongyloides alive for up to 1 month. Our study is the first to detect Strongyloides larvae in tap water in Egypt and the first to use NNA as a novel culture media for Strongyloides.

Indexed as

LarvaAdultAnimalsCulture MediaCulture TechniquesDrinking WaterEgyptHumansMalePrevalenceSoilStrongyloides stercoralisStrongyloidiasisCulture MediaDrinking WaterSoilEgyptNon-nutrient agar cultureStrongyloides stercoralisTap water

Identifiers

PMID30203185
OpenAlexW2891040334

What OpenQuestion holds

Textmetadata
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.