Predictive model for genital tract infections among men and women in Ghana: An application of LASSO penalized cross-validation regression model.

Michael Yao Ntumy, John Tetteh, Stephen Aguadze, Swithin M Swaray, Emilia Asuquo Udofia, Alfred Edwin Yawson

Abstract read

In one paragraph

Article in Epidemiology and infection, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Michael Yao NtumyDepartment of Obstetrics and Gynaecology, University of Ghana Medical School, College of Health Sciences, Accra, Ghana.

John TettehDepartment of Community Health, University of Ghana Medical School, College of Health Sciences, Accra, Ghana.ORCID 0000-0002-1986-4103

Stephen AguadzeResearch Unit, Korle Bu Teaching Hospital, Accra, Ghana.

Swithin M SwarayNational Cardiothoracic Centre, Korle Bu Teaching Hospital, Accra, Ghana.

Emilia Asuquo UdofiaDepartment of Community Health, University of Ghana Medical School, College of Health Sciences, Accra, Ghana.

Alfred Edwin YawsonDepartment of Community Health, University of Ghana Medical School, College of Health Sciences, Accra, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To enhance the capacity for early and effective management of genital tract infections at primary and secondary levels of the healthcare system, we developed a prediction model, validated internally to help predict individual risk of self-reported genital tract infections (sGTIs) at the community level in Ghana. The study involved 32973 men and women aged 15-49 years from three rounds of the Ghana Demographic Health Survey, from 2003 to 2014. The outcomes were sGTIs. We applied the least absolute shrinkage and selection operator (LASSO) penalized regression with a 10-fold cross-validation model to 11 predictors based on prior review of the literature. The bootstrapping technique was also employed as a sensitivity analysis to produce a robust model. We further employed discriminant and calibration analyses to evaluate the performance of the model. Statistical significance was set at

Indexed as

Reproductive Tract InfectionsAdolescentAdultFemaleGhanaHumansMaleMiddle AgedModels, StatisticalPrevalenceRegression AnalysisYoung Adultgenital tract infectionsGhanaLASSOprediction modelreproductive

Identifiers

PMID39639486

DOI10.1017/S0950268824001444

PMCPMC11648505

What OpenQuestion holds

Textmetadata

LicenceCC BY-NC-ND

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.