Evidence map›Paper›PMID 33048665›Full record

ArticleParasite (Paris, France)2020

Molecular characterization of Cryptosporidium spp. from patients with diarrhoea in Lusaka, Zambia.

Namwiinga Rozaria Mulunda, Kyoko Hayashida, Junya Yamagishi, Sandie Sianongo, Gilbert Munsaka, Chihiro Sugimoto, Mable Mwale Mutengo

Open access · goldAbstract read
In one paragraph

Article in Parasite (Paris, France), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 35% 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

8 citing papers in PubMed, 15 citations in OpenAlex.

  1. Large-scale molecular epidemiological survey ofJournal of clinical microbiology · 2026
    Article
  2. Prevalence and Molecular Characterization ofPathogens (Basel, Switzerland) · 2025
    Article
  3. A review of recentCurrent research in parasitology & vector-borne diseases · 2025
    Review
  4. Genetic diversity ofCurrent research in parasitology & vector-borne diseases · 2025
    Article
  5. Article
  6. Journal of water and health · 2024
    Article
  7. Current research in parasitology & vector-borne diseases · 2023
    Review
  8. High Diversity ofPathogens (Basel, Switzerland) · 2021
    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

7 authors at 3 institutions in 2 countries.

Namwiinga Rozaria MulundaDepartment of Pathology and Microbiology, University Teaching Hospital, 10101 Lusaka, Zambia.
Kyoko HayashidaDivision of Collaboration and Education, Hokkaido University Research Center for Zoonosis Control, 001-0020 Sapporo, Japan - International Collaboration Unit, Research Center for Zoonosis Control, Hokkaido University, 001-0020 Sapporo, Japan.
Junya YamagishiDivision of Collaboration and Education, Hokkaido University Research Center for Zoonosis Control, 001-0020 Sapporo, Japan - International Collaboration Unit, Research Center for Zoonosis Control, Hokkaido University, 001-0020 Sapporo, Japan.
Sandie SianongoDepartment of Pathology and Microbiology, University Teaching Hospital, 10101 Lusaka, Zambia.
Gilbert MunsakaDepartment of Pathology and Microbiology, University Teaching Hospital, 10101 Lusaka, Zambia.
Chihiro SugimotoDivision of Collaboration and Education, Hokkaido University Research Center for Zoonosis Control, 001-0020 Sapporo, Japan - International Collaboration Unit, Research Center for Zoonosis Control, Hokkaido University, 001-0020 Sapporo, Japan.
Mable Mwale MutengoDepartment of Pathology and Microbiology, University Teaching Hospital, 10101 Lusaka, Zambia - Institute of Basic and Biomedical Sciences, Levy Mwanawasa Medical University, Great East Road, 10101 Lusaka, Zambia.
Hokkaido University · JPUniversity Teaching Hospital · ZMLusaka Apex Medical University · ZM

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cryptosporidium is a major etiological agent of diarrhoeal diseases among children and immune-compromised individuals in sub-Saharan African countries. We conducted a study to determine the prevalence and genetic characteristics of Cryptosporidium spp. in stool samples from patients with diarrhoea who presented at the University Teaching Hospital in Lusaka, Zambia. Cryptosporidium species and subtypes from 71 microscopically confirmed cryptosporidiosis stool samples collected between 2017 and 2019 were determined by polymerase chain reaction followed by partial sequencing of the small subunit rRNA and 60-kDa glycoprotein (gp60) gene. Additionally, data for the period between 2014 and 2019 were reviewed and analysed for cryptosporidiosis seasonal and age distribution. Cryptosporidium was more prevalent in the rainy season. The highest number of cases was reported among the 1-4 year age group. By sequence analysis of the 71 positive isolates, Cryptosporidium hominis (n = 42; 59.2%), C. parvum (n = 27; 38%), C. felis (n = 1; 1.4%), and C. meleagridis (n = 1; 1.4%) were identified. Four C. hominis subtype families (Ia, Ib, Id, and Ie) and three C. parvum subtype families (IIc, IIe, and IIs) were identified. The most frequent subtypes were IeA11G3T3 (n = 20; 28.2%), IIcA5G3 (n = 12; 16.9%), IIeA12G1 (n = 11; 15.5%) and IaA30R3 (n = 10; 14.1%). The observed species/subtypes of C. hominis and C. parvum indicated that the infection was mainly transmitted through the anthroponotic route. The identification of C. felis and C. meleagridis suggests that an atypical zoonotic transmission cycle also exists.

Indexed as

CryptosporidiosisCryptosporidiumDiarrheaAnimalsChildChild, PreschoolDNA, ProtozoanFecesFemaleGenotypeHumansInfantMalePolymerase Chain ReactionZambiaDNA, ProtozoanCryptosporidiumDiarrhoeal diseaseSubtypeZambiaZoonosis

Identifiers

PMID33048665
PMCPMC7553232
OpenAlexW3091811164

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.