Evidence map›Paper›PMID 36138842›Full record

ArticleBiology2022

Incident

M Jacques Nsuami, Wato Nsa, Catherine L Cammarata, David H Martin, Stephanie N Taylor

Open access · goldAbstract read
In one paragraph

Article in Biology, 2022. 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
0.1field-weighted citation impact, top 52% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

5 authors at 2 institutions in 1 country.

M Jacques NsuamiSection of Infectious Diseases, Department of Medicine, School of Medicine, Louisiana State University Health Sciences Center, New Orleans, LA 70112, USA.
Wato NsaDepartment of Medical Informatics, School of Community Medicine, University of Oklahoma Health Sciences Center, Tulsa, OK 74135, USA.
Catherine L CammarataSection of Infectious Diseases, Department of Medicine, School of Medicine, Louisiana State University Health Sciences Center, New Orleans, LA 70112, USA.
David H MartinSection of Infectious Diseases, Department of Medicine, School of Medicine, Louisiana State University Health Sciences Center, New Orleans, LA 70112, USA.
Stephanie N TaylorSection of Infectious Diseases, Department of Medicine, School of Medicine, Louisiana State University Health Sciences Center, New Orleans, LA 70112, USA.
Louisiana State University Health Sciences Center New Orleans · USUniversity of Oklahoma Health Sciences Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prospective cohort studies of sexually transmitted infections (STIs) are logistically impractical owing to time and expenses. In schools, students are readily available for school-related follow-ups and monitoring. Capitalizing on the logistics that society already commits to ensure regular attendance of adolescents in school, a school-based STI screening in New Orleans made it possible to naturally observe the occurrence of chlamydia and to determine its incidence among 14-19-year-old adolescents. Among participants screened repeatedly, we calculated incidence rates, cumulative incidence, and incidence times. Male (n = 3820) and female (n = 3501) students were observed for 6251 and 5143 person-years, respectively, during which 415 boys and 610 girls acquired chlamydia. Incidence rates per 100 person-years were 6.6 cases for boys and 11.9 cases for girls. In multivariable analysis, the adjusted hazard ratio was 5.34 for boys and 3.68 for girls if the student tested positive for gonorrhea during follow-up, and 2.76 for boys and 1.59 for girls if at first participation the student tested positive for chlamydia, and it increased with age among boys but not among girls. In joinpoint trend analysis, the annual percentage change in the incidence rate was 6.6% for boys (95% CI: -1.2%, 15.1%) and 0.1% for girls (95% CI: -5.3%, 5.7%). Annual cumulative incidence was 5.5% among boys and 8.6% among girls. Median incidence time was 9.7 months for boys and 6.9 months for girls. Our findings can be used to refine assumptions in mathematical modeling and in cost analysis studies of

Indexed as

adolescentsdisease surveillanceepidemiologyparameter estimatesscreening recommendationssexually transmitted diseases

Identifiers

PMID36138842
PMCPMC9495774
OpenAlexW4296251872

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.