Evidence map›Paper›PMID 33625066›Full record

ArticleJournal of acquired immune deficiency syndromes (1999)2021

HIV Testing by Public Health Centers and Municipalities and New HIV Cases During the COVID-19 Pandemic in Japan.

Keisuke Ejima, Yoshiki Koizumi, Nao Yamamoto, Molly Rosenberg, Christina Ludema, Ana I Bento, Daisuke Yoneoka, Seiichi Ichikawa, Daisuke Mizushima, Shingo Iwami

Open access · greenAbstract read
In one paragraph

Article in Journal of acquired immune deficiency syndromes (1999), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 pooled it
2.7field-weighted citation impact, top 8% 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

33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 46 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Observational
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

10 authors at 7 institutions in 2 countries.

Keisuke EjimaDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, IN.
Yoshiki KoizumiAIDS Clinical Center, National Center for Global Health and Medicine, Tokyo, Japan.
Nao YamamotoSchool of Human Evolution and Social Change, Arizona State University, AZ.
Molly RosenbergDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, IN.
Christina LudemaDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, IN.
Ana I BentoDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, IN.
Daisuke YoneokaDepartment of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Seiichi IchikawaInstitute for Consumer Sciences and Human Life, Kinjo Gakuin University, Nagoya, Japan.
Daisuke MizushimaAIDS Clinical Center, National Center for Global Health and Medicine, Tokyo, Japan.
Shingo IwamiDepartment of Biology, Faculty of Sciences, Kyushu University, Fukuoka, Japan.
Indiana University Bloomington · USNational Center for Global Health and Medicine · JPArizona State University · USKinjo Gakuin University · JPScience Groove (Japan) · JPSt. Luke's International University · JPThe University of Tokyo · JP

Funding

Cumulative socioeconomic exposures, cash transfer interventions, and later-life cognitive decline and dementia risk in a low-income region of South AfricaR01AG069128 · NIA · TRUSTEES OF INDIANA UNIVERSITY · PI Lindsay C Kobayashi, Molly Sears Rosenberg · 2020 to 2026
$4.1M
NIA NIH HHS R01 AG069128
6 · The paper itself

Abstract

backgroundDuring the COVID-19 outbreak, facility capacity for HIV testing has been limited. Furthermore, people may have opted against HIV testing during this period to avoid COVID-19 exposure. We investigated the influence of the COVID-19 pandemic on HIV testing and the number of reported HIV cases in Japan.

methodsWe analyzed quarterly HIV/AIDS-related data from 2015 to the second quarter of 2020 using an anomaly detection approach. The data included the number of consultations, the number of HIV tests performed by public health centers or municipalities, and the number of newly reported HIV cases with and without an AIDS diagnosis. We further performed the same analysis for 2 subgroups: men who have sex with men (MSM) and non-Japanese persons.

resultsThe number of HIV tests (9,584 vs. 35,908 in the year-before period) and consultations (11,689 vs. 32,565) performed by public health centers significantly declined in the second quarter of 2020, whereas the proportion of new HIV cases with an AIDS diagnosis (36.2% vs. 26.4%) significantly increased after removing the trend and seasonality effects. HIV cases without an AIDS diagnosis decreased (166 vs. 217), but the reduction was not significant. We confirmed similar trends for the men who have sex with men and non-Japanese subgroups.

conclusionsDuring the COVID-19 pandemic, the current HIV testing system in Japan seems to have missed more cases of HIV before developing AIDS. Continuously monitoring the situation and securing sufficient test resources by use of self-testing is essential to understand the clear epidemiological picture of HIV incidence during the COVID-19 pandemic.

Indexed as

Public HealthSARS-CoV-2COVID-19HIV InfectionsHIV TestingHumansJapan

Identifiers

PMID33625066
PMCPMC8126475
OpenAlexW3131097557

What OpenQuestion holds

Textmetadata
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.