Evidence map›Paper›PMID 33902496›Full record

ArticleBMC pregnancy and childbirth2021

Testing telediagnostic obstetric ultrasound in Peru: a new horizon in expanding access to prenatal ultrasound.

Marika Toscano, Thomas J Marini, Kathryn Drennan, Timothy M Baran, Jonah Kan, Brian Garra, Ann M Dozier, Rafael L Ortega, Rosemary A Quinn, Yu T Zhao and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 3 pooled it
6.0field-weighted citation impact, top 3% 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

28 citing papers in PubMed, 3 syntheses or guidelines pooled it, 52 citations in OpenAlex.

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  5. Introduction of robot-assisted obstetric ultrasound in rural Northern Norway.Acta obstetricia et gynecologica Scandinavica · 2026
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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

14 authors at 4 institutions in 2 countries.

Marika Toscano *Department of Obstetrics & Gynecology, Division of Maternal/Fetal Medicine, University of Rochester Medical Center, 601 Elmwood Ave, Box 668, Rochester, NY, 14642, USA. Marika_toscano@urmc.rochester.edu.
Thomas J Marini *Department of Imaging Sciences, University of Rochester Medical Center, 601 Elmwood Ave, Box 648, Rochester, NY, 14642, USA.
Kathryn DrennanDepartment of Obstetrics & Gynecology, Division of Maternal/Fetal Medicine, University of Rochester Medical Center, 601 Elmwood Ave, Box 668, Rochester, NY, 14642, USA.
Timothy M BaranDepartment of Imaging Sciences, University of Rochester Medical Center, 601 Elmwood Ave, Box 648, Rochester, NY, 14642, USA.
Jonah KanUniversity of Rochester School of Medicine and Dentistry, 601 Elmwood Ave, Box 607, Rochester, NY, 14642, USA.
Brian GarraMedical Imaging Ministries of the Americas, 10810 Lake Minneola Shores, Clermont, FL, 34711, USA.
Ann M DozierDepartment of Public Health Sciences, University of Rochester Medical Center, 265 Crittenden Blvd., Rochester, NY, 14642, USA.
Rafael L OrtegaUniversity of Rochester School of Medicine and Dentistry, 601 Elmwood Ave, Box 607, Rochester, NY, 14642, USA.
Rosemary A QuinnUniversity of Rochester School of Medicine and Dentistry, 601 Elmwood Ave, Box 607, Rochester, NY, 14642, USA.
Yu T ZhaoUniversity of Rochester School of Medicine and Dentistry, 601 Elmwood Ave, Box 607, Rochester, NY, 14642, USA.
Miguel S EgoavilMedical Innovation and Technology, Calle Los Libertadores 635, 15046, San Isidro, Peru.
Lorena TamayoMedical Innovation and Technology, Calle Los Libertadores 635, 15046, San Isidro, Peru.
Claudia CarlottoMedical Innovation and Technology, Calle Los Libertadores 635, 15046, San Isidro, Peru.
Benjamin CastanedaDepartament of Academic Engineering, Division of Electric Engineering, Pontificia Universidad Catolica del Peru, Av. Universitaria 1801, 15088, San Miguel, Peru.
University of Rochester Medical Center · USUniversity of Rochester · USGlobal Ministries · USPontifical Catholic University of Peru · PE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNinety-four percent of all maternal deaths occur in low- and middle-income countries, and the majority are preventable. Access to quality Obstetric ultrasound can identify some complications leading to maternal and neonatal/perinatal mortality or morbidity and may allow timely referral to higher-resource centers. However, there are significant global inequalities in access to imaging and many challenges to deploying ultrasound to rural areas. In this study, we tested a novel, innovative Obstetric telediagnostic ultrasound system in which the imaging acquisitions are obtained by an operator without prior ultrasound experience using simple scan protocols based only on external body landmarks and uploaded using low-bandwidth internet for asynchronous remote interpretation by an off-site specialist.

methodsThis is a single-center pilot study. A nurse and care technician underwent 8 h of training on the telediagnostic system. Subsequently, 126 patients (68 second trimester and 58 third trimester) were recruited at a health center in Lima, Peru and scanned by these ultrasound-naïve operators. The imaging acquisitions were uploaded by the telemedicine platform and interpreted remotely in the United States. Comparison of telediagnostic imaging was made to a concurrently performed standard of care ultrasound obtained and interpreted by an experienced attending radiologist. Cohen's Kappa was used to test agreement between categorical variables. Intraclass correlation and Bland-Altman plots were used to test agreement between continuous variables.

resultsObstetric ultrasound telediagnosis showed excellent agreement with standard of care ultrasound allowing the identification of number of fetuses (100% agreement), fetal presentation (95.8% agreement, κ =0.78 (p < 0.0001)), placental location (85.6% agreement, κ =0.74 (p < 0.0001)), and assessment of normal/abnormal amniotic fluid volume (99.2% agreement) with sensitivity and specificity > 95% for all variables. Intraclass correlation was good or excellent for all fetal biometric measurements (0.81-0.95). The majority (88.5%) of second trimester ultrasound exam biometry measurements produced dating within 14 days of standard of care ultrasound.

conclusionThis Obstetric ultrasound telediagnostic system is a promising means to increase access to diagnostic Obstetric ultrasound in low-resource settings. The telediagnostic system demonstrated excellent agreement with standard of care ultrasound. Fetal biometric measurements were acceptable for use in the detection of gross discrepancies in fetal size requiring further follow up.

Indexed as

Perinatal CareStaff DevelopmentUltrasonography, PrenatalEarly DiagnosisEarly Medical InterventionFemaleHumansObstetricsPeruPoint-of-Care TestingPregnancyPregnancy TrimestersQuality ImprovementRemote ConsultationRural Health ServicesRural NursingGlobal healthHandheld ultrasoundLow- and middle-income countriesLow-resource settingPerinatal morbidity and mortalityPoint-of-care ultrasoundPortable ultrasoundrural medicineTelemedicineVolume sweep imaging

Identifiers

PMID33902496
PMCPMC8074497
OpenAlexW3157188014

What OpenQuestion holds

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LicenceCC BY
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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.