Evidence map›Paper›PMID 32492710›Full record

SynthesisThe Journal of infectious diseases2020

Directionality of Genital Human Papillomavirus Infection Transmission Within Heterosexual Couples: A Systematic Review and Meta-analysis.

Rajshree Balaji, Aaron MacCosham, Khandideh Williams, Mariam El-Zein, Eduardo L Franco

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in The Journal of infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
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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

5 authors.

Rajshree BalajiDivision of Cancer Epidemiology, McGill University, Montreal, Quebec, Canada.
Aaron MacCoshamDivision of Cancer Epidemiology, McGill University, Montreal, Quebec, Canada.
Khandideh WilliamsDivision of Cancer Epidemiology, McGill University, Montreal, Quebec, Canada.
Mariam El-ZeinDivision of Cancer Epidemiology, McGill University, Montreal, Quebec, Canada.
Eduardo L FrancoDivision of Cancer Epidemiology, McGill University, Montreal, Quebec, Canada.

Funding

CIHR FDN-143347
6 · The paper itself

Abstract

backgroundLimited evidence indicates greater female-to-male (F-M) transmission of genital infection with human papillomavirus (HPV) relative to male-to-female (M-F). We verified the hypothesis of a differential transmission rate in couple-based studies by conducting a systematic review and meta-analysis.

methodsWe searched MEDLINE, EMBASE, Scopus, and Cochrane Library databases for studies published until December 2019. We calculated pooled estimates of F-M and M-F transmission rates and their rate differences per 100 person-months, with 95% confidence intervals (CI), using a random-effects model. We counted occurrences of directionality preponderance for each HPV type.

resultsWe identified 7 eligible studies published between 2008 and 2019, providing data for 752 couples. Pooled estimates for F-M and M-F transmission rates were 3.01 (95% CI, 1.19-7.64; I2 = 97%) and 1.60 (95% CI, 0.86-2.98; I2 = 89%), respectively. The overall rate difference was 0.61 (95% CI, -0.27 to 1.49; I2 = 75%). Three studies provided rates by sex and HPV genotype; 2 favored a preponderance of F-M and 1 favored M-F transmission.

conclusionsThere was slight evidence for a differential transmission rate favoring higher F-M than M-F transmission with substantial statistical heterogeneity across studies.

Indexed as

GenitaliaSexually Transmitted DiseasesDatabases, FactualFemaleHeterosexualityHumansMalePapillomaviridaePapillomavirus Infectionsheterosexual couplesHPV infectionHPV transmissionhuman papillomavirusmeta-analysissystematic review

Identifiers

PMID32492710
PMCPMC7653088

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.