Evidence map›Paper›PMID 33534404›Full record

ArticleSexually transmitted diseases2021

A Peek Into the Future: How a Pandemic Resulted in the Creation of Models to Predict the Impact on Sexually Transmitted Infection(s) in New York State (Excluding New York City).

Manjiri Joshi, Yingchao Yuan, Wilson Miranda, Rakkoo Chung, Deepa T Rajulu, Rachel Hart-Malloy

Open access · hybridAbstract read
In one paragraph

Article in Sexually transmitted diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Review
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 3 institutions in 3 countries.

Manjiri JoshiFrom the Office of Sexual Health and Epidemiology.
Yingchao YuanFrom the Office of Sexual Health and Epidemiology.
Wilson MirandaFrom the Office of Sexual Health and Epidemiology.
Rakkoo ChungCenter for Program Development, Implementation, Research and Evaluation.
Deepa T RajuluDivision of HIV/STD Epidemiology, Evaluation and Partner Services, AIDS Institute, New York State Department of Health.
Rachel Hart-Malloy
Sexual Health Clinic · FICenter for Evaluation and Development · DENew York State Department of Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractDuring the initial height of COVID-19 in New York State excluding New York City in March 2020, reports of sexually transmitted infections declined. Prediction models developed to estimate the incidence of early syphilis and gonorrhea during the COVID-19 pandemic were used to study impact on STI diagnoses/reporting and inform sexual health program planning.

Indexed as

COVID-19Models, TheoreticalGonorrheaHumansIncidenceNew YorkPandemicsSexually Transmitted DiseasesSyphilis

Identifiers

PMID33534404
PMCPMC8048737
OpenAlexW3128518538

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.