Evidence map›Paper›PMID 31162016›Full record

ArticleThe American journal of tropical medicine and hygiene2019

High Rates of Exposures to Waterborne Pathogens in Indigenous Communities in the Amazon Region of Ecuador.

Natalia Romero-Sandoval, Lizeth Cifuentes, Gabriela León, Paola Lecaro, Claudia Ortiz-Rico, Philip Cooper, Miguel Martín

Abstract read
In one paragraph

Article in The American journal of tropical medicine and hygiene, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Leptospirosis in Ecuador: Current Status and Future Prospects.Tropical medicine and infectious disease · 2023
    Review
  11. Article
  12. Article
  13. Article
  14. 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.

Natalia Romero-SandovalGrups de Recerca d'Amèrica i Àfrica Llatines - GRAAL, Barcelona, Spain.
Lizeth CifuentesSchool of Medicine, Universidad Internacional del Ecuador, Quito, Ecuador.
Gabriela LeónSchool of Medicine, Universidad Internacional del Ecuador, Quito, Ecuador.
Paola LecaroSchool of Medicine, Universidad Internacional del Ecuador, Quito, Ecuador.
Claudia Ortiz-RicoGrupo Salud-Comunid-Universidad de Santander, Facultad de Ciencias de la Salud, Universidad de Santander, Bucaramanga, Colombia.
Philip CooperFundación Ecuatoriana para la Investigación en Salud, FEPIS, Quinindé, Ecuador.
Miguel MartínUnidad de Bioestadística, Facultad de Medicina, Universidad Autónoma de Barcelona, Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Waterborne pathogens, associated with poverty and poor sanitary conditions, are a major cause of morbidity and mortality worldwide. There are limited data on the epidemiology of waterborne pathogens in indigenous populations living in the Amazon region. We did a cross-sectional survey in two indigenous Shuar communities in the Amazon region of Ecuador in which we documented the presence of pathogens representing different sources of environmental contamination of water. We detected protozoa and soil-transmitted helminths by microscopy of fecal samples and the presence of IgG antibodies to hepatitis A and

Indexed as

Water MicrobiologyAdolescentAdultAgedAntibodies, BacterialAntibodies, ViralChildChild, PreschoolCross-Sectional StudiesEcuadorHepatitis AHepatitis A virusHumansImmunoglobulin GIndigenous PeoplesLeptospiraAntibodies, BacterialAntibodies, ViralImmunoglobulin GWater

Identifiers

PMID31162016
PMCPMC6609175

What OpenQuestion holds

Textmetadata
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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.