Evidence map›Paper›PMID 37039044›Full record

ArticleTransactions of the Royal Society of Tropical Medicine and Hygiene2023

Prevalence of and factors associated with childhood anaemia in remote villages of the Peruvian Amazon: a cross-sectional study and geospatial analysis.

Noelia Morocho-Alburqueque, Alvaro Quincho-Lopez, John M Nesemann, Jorge L Cañari-Casaño, Oliver A Elorreaga, Marleny Muñoz, Sandra Talero, Emma M Harding-Esch, Martha Idalí Saboyá-Díaz, Harvy A Honorio-Morales and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in Transactions of the Royal Society of Tropical Medicine and Hygiene, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

15 authors at 11 institutions in 4 countries.

Noelia Morocho-AlburquequeUniversidad Nacional de Piura, Piura, Peru.
Alvaro Quincho-LopezUnidad de Investigación en Bibliometría, Universidad San Ignacio de Loyola, Lima, Peru.ORCID 0000-0003-3556-0086
John M NesemannFrancis I Proctor Foundation, University of California, San Francisco, San Francisco, USA.
Jorge L Cañari-CasañoClima, Latin American Center of Excellence for Climate Change and Health, Universidad Peruana Cayetano Heredia, Lima, Peru.
Oliver A ElorreagaClima, Latin American Center of Excellence for Climate Change and Health, Universidad Peruana Cayetano Heredia, Lima, Peru.
Marleny MuñozÁrea de Epidemiología, Red de Salud Alto Amazonas, Yurimaguas, Peru.
Sandra TaleroEscuela Superior de Oftalmología del Instituto Barraquer de América, Bogotá, Colombia.
Emma M Harding-EschClinical Research Department, London School of Hygiene and Tropical Medicine, London, UK.
Martha Idalí Saboyá-DíazPan American Health Organization, Department of Communicable Diseases and Environmental Determinants of Health, Washington, DC, USA.
Harvy A Honorio-MoralesComponente de Salud Ocular y Prevención de la Ceguera. Ministerio de Salud, Lima, Peru.
Salomón DurandÁrea de Epidemiología, Dirección Regional de Salud Loreto, Iquitos, Peru.
Cristiam A Carey-AngelesUniversidad Nacional de la Amazonia Peruana, Iquitos, Peru.
Jeffrey D KlausnerPopulation and Public Health Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA.
Jeremy D KeenanFrancis I Proctor Foundation, University of California, San Francisco, San Francisco, USA.
Andres G LescanoEmerge, Emerging Diseases and Climate Change Research Unit, School of Public Health and Administration, Universidad Peruana Cayetano Heredia, Lima, Peru.
Universidad Peruana Cayetano Heredia · PEUniversity of California, San Francisco · USDirección Regional de Salud del Callao · PEInstituto Barraquer de América · COLondon School of Hygiene & Tropical Medicine · GBMinistry of Health · PEUniversidad Nacional de la Amazonía Peruana · PEUniversidad Nacional de Piura · PEUniversidad San Ignacio de Loyola · PEUniversity of Southern California · USWorld Health Organization Regional Office for the Americas · US

Funding

University of California Launching Future Leaders in Global Health Research Training ProgramD43TW009343 · FIC · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CRAIG R COHEN, Sung-Jae Lee · 2017 to 2026
$14.7M
Peru Infectious Diseases Epidemiology Research Training ConsortiumD43TW007393 · FIC · UNIVERSIDAD PERUANA CAYETANO HEREDIA · PI Andres G Lescano · 2005 to 2026
$5.9M
Integrating smartphone photography for trachoma, smartphone visual acuity assessment, and mobile autorefraction to enhance community-based public health monitoring - Diversity SupplementR33EY033690 · NEI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Jeremy David Keenan · 2023 to 2026
$1.0M
Integrating smartphone photography for trachoma, smartphone visual acuity assessment, and mobile autorefraction to enhance community-based public health monitoringR21EY033690 · NEI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KEENAN, JEREMY DAVID, LESCANO, ANDRES G · 2021 to 2022
$384k
FIC NIH HHS D43 TW007393FIC NIH HHS D43 TW009343NEI NIH HHS R21 EY033690NEI NIH HHS R33 EY033690NIH HHS D43TW009343
6 · The paper itself

Abstract

backgroundAnaemia is a public health problem in Peru. In the Loreto region of the Amazon, ≥50% of children may be anaemic, although insufficient information exists for rural villages.

methodsTo generate more data about childhood anaemia in the Peruvian Amazon, haemoglobin was measured as part of a trachoma survey in 21 randomly selected villages. All children 1-9 y of age from 30 randomly selected households per village were recruited. Anaemia was classified according to the World Health Organization guidelines and a socio-economic status (SES) index was created for each household using principal component analysis. Spatial autocorrelation was determined using Moran's I and Ripley's K function.

resultsOf 678 children with complete haemoglobin data, 25.4% (95% confidence interval [CI] 21.2 to 30.1) had mild-or-worse anaemia and 22.1% (95% CI 15.6 to 30.3) had moderate-or-worse anaemia. Mild-or-worse anaemia was more common among children whose primary source of drinking water was surface water (prevalence ratio [PR] 1.26 [95% CI 1.14 to 1.40], p<0.001) and who were in the lowest SES tercile (PR 1.16 [95% CI 1.02 to 1.32], p=0.021). Moderate-or-worse anaemia was more common among boys (PR 1.32 [95% CI 1.09 to 1.60], p=0.005). No evidence of geospatial clustering was found.

conclusionsRemote villages of the Amazon would benefit from interventions for childhood anaemia and the poorest households would have the most to gain. Integrating anaemia screening into neglected tropical diseases surveys is an opportunity to use public health resources more efficiently.

Indexed as

AnemiaChildCross-Sectional StudiesHemoglobinsHumansMalePeruPrevalenceRisk FactorsHemoglobinsanaemiaglobal healthPeruprevalencerural health

Identifiers

PMID37039044
PMCPMC10398418
OpenAlexW4364354689

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.