Evidence map›Paper›PMID 33350922›Full record

ReviewEmerging infectious diseases2021

Impact of Human Papillomavirus Vaccination, Rwanda and Bhutan.

Iacopo Baussano, Felix Sayinzoga, Ugyen Tshomo, Vanessa Tenet, Alex Vorsters, Daniëlle A M Heideman, Tarik Gheit, Massimo Tommasino, Marie Chantal Umulisa, Silvia Franceschi and 1 more

Abstract readReview
In one paragraph

Review in Emerging infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 3 pooled it
–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

27 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  7. Review
  8. Turning the Tide on Cervical Cancer in India.Clinical Medicine Insights. Oncology · 2026
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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

11 authors.

Iacopo Baussano
Felix Sayinzoga
Ugyen Tshomo
Vanessa Tenet
Alex Vorsters
Daniëlle A M Heideman
Tarik Gheit
Massimo Tommasino
Marie Chantal Umulisa
Silvia Franceschi
Gary M Clifford

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rwanda and Bhutan, 2 low- and middle-income countries, implemented primarily school-based national human papillomavirus (HPV) vaccination in 2011 (Rwanda) and 2010 (Bhutan). We estimated vaccination effectiveness through urine-based HPV prevalence surveys in schools in 2013-2014 and 2017. In Rwanda, 912 participants from baseline surveys and 1,087 from repeat surveys were included, and in Bhutan, 973 participants from baseline surveys and 909 from repeat surveys were included. The overall effectiveness against vaccine-targeted HPV types (i.e., HPV-6/11/16/18) was 78% (95% CI 51%-90%) in Rwanda, and 88% (6%-99%) in Bhutan and against other α-9 types was 58% (21-78) in Rwanda and 63% (27-82) in Bhutan. No effect against other HPV types was detectable. Prevalence of vaccine-targeted HPV types decreased significantly, as well as that of other α-9 types, suggesting cross-protection. These findings provide direct evidence from low- and middle-income countries of the marked effectiveness of high-coverage school-based, national HPV vaccination programs.

Indexed as

AlphapapillomavirusPapillomavirus InfectionsPapillomavirus VaccinesUterine Cervical NeoplasmsBhutanFemaleHumansRwandaVaccinationPapillomavirus VaccinesBhutandisease controlepidemiologic monitoringhuman papillomavirus recombinant vaccine quadrivalentlow-income populationpapillomavirus infectionspapillomavirus vaccinesRwandatype 11type 16type 18type 6vaccine-preventable diseasesvaccinesviruses

Identifiers

PMID33350922
PMCPMC7774553

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.