Evidence map›Paper›PMID 30216374›Full record

ArticlePloS one2018

A safe, low-cost, easy-to-use 3D camera platform to assess risk of obstructed labor due to cephalopelvic disproportion.

Rudolph L Gleason, Mahlet Yigeremu, Tequam Debebe, Sisay Teklu, Daniel Zewdeneh, Michael Weiler, Nate Frank, Lorenzo Tolentino, Shehab Attia, J Brandon Dixon and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 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

13 authors at 2 institutions in 2 countries.

Rudolph L GleasonThe George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, United States of America.ORCID 0000-0002-6357-4955
Mahlet YigeremuDepartment of Obstetrics & Gynecology, Addis Ababa University, Addis Ababa, Ethiopia.
Tequam DebebeDepartment of Radiology, Addis Ababa University, Addis Ababa, Ethiopia.
Sisay TekluDepartment of Obstetrics & Gynecology, Addis Ababa University, Addis Ababa, Ethiopia.
Daniel ZewdenehDepartment of Radiology, Addis Ababa University, Addis Ababa, Ethiopia.
Michael WeilerLymphaTech, Inc., Atlanta, GA, United States of America.
Nate FrankLymphaTech, Inc., Atlanta, GA, United States of America.
Lorenzo TolentinoBecause of Kennedy, Inc., Acworth, GA, United States of America.
Shehab AttiaThe Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, United States of America.
J Brandon DixonThe George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, United States of America.
Catherine KwonThe George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, United States of America.
Anastassia Pokutta-PaskalevaThe George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, United States of America.
Katie A GleasonBecause of Kennedy, Inc., Acworth, GA, United States of America.
Georgia Institute of Technology · USAddis Ababa University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cephalopelvic disproportion (CPD)-related obstructed labor is accountable for 3-8% of the maternal deaths worldwide. The consequence of CPD-related obstructive labor in the absence of a Caesarian section (C/S) is often maternal or perinatal mortality or morbidity to the mother and/or the infant. Accurate and timely referral of at-risk mothers to health facilities where C/S is a delivery option could reduce maternal mortality in the developing world. The goal of this work was to develop and test the feasibility of a safe, low-cost, easy-to-use, portable tool, using a Microsoft Kinect 3D camera, to identify women at risk for obstructed labor due to CPD. Magnetic resonance imaging (MRI) scans, 3D camera imaging, anthropometry and clinical pelvimetry were collected and analyzed from women 18-40 years of age, at gestational age ≥36+0 weeks with previous C/S due to CPD (n = 43), previous uncomplicated vaginal deliveries (n = 96), and no previous obstetric history (n = 148) from Addis Ababa, Ethiopia. Novel and published CPD risk scores based on anthropometry, clinical pelvimetry, MRI, and Kinect measurements were compared. Significant differences were observed in most anthropometry, clinical pelvimetry, MRI and Kinect measurements between women delivering via CPD-related C/S versus those delivering vaginally. The area under the receiver-operator curve from novel CPD risk scores base on MRI-, Kinect-, and anthropometric-features outperformed novel CPD risk scores based on clinical pelvimetry and previously published indices for CPD risk calculated from these data; e.g., pelvic inlet area, height, and fetal-pelvic index. This work demonstrates the feasibility of a 3D camera-based platform for assessing CPD risk as a novel, safe, scalable approach to better predict risk of CPD in Ethiopia and warrants the need for further blinded, prospective studies to refine and validate the proposed CPD risk scores, which are required before this method can be applied clinically.

Indexed as

AdultAnthropometryCephalopelvic DisproportionCesarean SectionDelivery, ObstetricEthiopiaFemaleHumansImaging, Three-DimensionalMagnetic Resonance ImagingMaternal MortalityMiddle AgedObstetric Labor ComplicationsPelvimetryPregnancyProspective Studies

Identifiers

PMID30216374
PMCPMC6138392
OpenAlexW2890524162

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.