Evidence map›Paper›PMID 38048378›Full record

ArticleInternational health2023

Comparing image quality and trachoma detection across three camera types from a survey in Kongwa, Tanzania.

Ugochi T Aguwa, Harran Mkocha, Beatriz Munoz, Meraf A Wolle, Christopher J Brady, Sheila K West

Open access · goldAbstract read
In one paragraph

Article in International health, 2023. 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
0.6field-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, 3 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Ugochi T AguwaJohns Hopkins University School of Medicine, Baltimore, MD, USA.
Harran MkochaKongwa Trachoma Project, Kongwa, Tanzania.
Beatriz MunozDana Center for Preventive Ophthalmology, Wilmer Eye Institute, Johns Hopkins University Hospital, 600 N. Wolfe St., Baltimore, MD 21287, USA.
Meraf A WolleDana Center for Preventive Ophthalmology, Wilmer Eye Institute, Johns Hopkins University Hospital, 600 N. Wolfe St., Baltimore, MD 21287, USA.
Christopher J BradyRobert Larner College of Medicine, University of Vermont School of Medicine, 111 Colchester Ave, Burlington, VT 05401, USA.
Sheila K WestDana Center for Preventive Ophthalmology, Wilmer Eye Institute, Johns Hopkins University Hospital, 600 N. Wolfe St., Baltimore, MD 21287, USA.ORCID 0000-0003-0818-8100
Johns Hopkins University · USUniversity of Vermont · US

Funding

Using Dengue Controlled Human Infection Model to Identify Adaptive Immune Correlates of ProtectionP20GM125498 · NIGMS · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI Ellen Kozelka · 2018 to 2026
$24.9M
NIGMS NIH HHS P20 GM125498NIH HHS P20GM125498
6 · The paper itself

Abstract

backgroundThere is an increasing demand for photography for trachoma prevalence surveys. In previous studies, digital single lens reflex (DSLR) images were superior to smartphone images, but newer-model smartphones and/or lens attachments may be able to bridge this gap. This study compares the image quality and ability to detect trachomatous inflammation - follicular (TF) of three camera types: a DSLR Nikon camera, an iPhone SE and an iPhone 13 Pro with a cell scope.

methodsWe surveyed 62 children ages 1-7 y from two Tanzanian communities. Upper tarsal conjunctiva images of both eyes were graded for TF by two standardized graders. The McNemar's test and a logistic regression model were used for analyses.

resultsThe DSLR camera malfunctioned during the study, thus the iPhone SE and iPhone 13 Pro with cell scope were both more likely to take high-quality, gradable photographs (88% and 86%, respectively) compared with the DSLR camera (69%) (p<0.001 and p=0.02, respectively). TF was detected in gradable images from the iPhone SE (8.8%) and iPhone 13 Pro with cell scope (9.0%) at the same rate (p=1.0) as images from the DSLR camera (9.7%).

conclusionSmartphones with high-quality image capture, like the iPhone SE/13 Pro, have the potential for use in trachoma surveys if the proportion of gradable images can be improved.

Indexed as

TrachomaChildHumansSmartphoneTanzaniaimage qualityphotographysurveytrachoma

Identifiers

PMID38048378
PMCPMC10695420
OpenAlexW4389297728

What OpenQuestion holds

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LicenceCC BY-NC
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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.