Evidence map›Paper›PMID 31133586›Full record

ArticleBMJ open2019

Treatment as prevention for hepatitis C virus in Pakistan: mathematical modelling projections.

Houssein H Ayoub, Laith J Abu-Raddad

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 16% 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.

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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

2 authors at 2 institutions in 2 countries.

Houssein H AyoubDepartment of Mathematics, Statistics, and Physics, Qatar University, Doha, Qatar.ORCID 0000-0003-2512-6657
Laith J Abu-RaddadInfectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Doha, Qatar.ORCID 0000-0003-0790-0506
Cornell University · USQatar University · QA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDirect-acting antivirals have opened an opportunity for controlling hepatitis C virus (HCV) infection in Pakistan, where 10% of the global infection burden is found. We aimed to evaluate the implications of five treatment programme scenarios for HCV treatment as prevention (HCV-TasP) in Pakistan.

designAn age-structured mathematical model was used to evaluate programme impact using epidemiological and programme indicators.

settingTotal Pakistan population.

participantsTotal Pakistan HCV-infected population.

interventionsHCV treatment programme scenarios from 2018 up to 2030.

resultsBy 2030 across the five HCV-TasP scenarios, 0.6-7.3 million treatments were administered, treatment coverage reached between 3.7% and 98.7%, prevalence of chronic infection reached 2.4%-0.03%, incidence reduction ranged between 41% and 99%, program-attributed reduction in incidence rate ranged between 7.2% and 98.5% and number of averted infections ranged between 126 221 and 750 547. Annual incidence rate reduction in the first decade of the programme was around 6%-18%. Number of treatments needed to prevent one new infection ranged between 4.7-9.8, at a drug cost of about US$900. Cost of the programme by 2030, in the most ambitious elimination scenario, reached US$708 million. Stipulated WHO target for 2030 cannot be accomplished without scaling up treatment to 490 000 per year, and maintaining it for a decade.

conclusionHCV-TasP is a highly impactful and potent approach to control Pakistan's HCV epidemic and achieve elimination by 2030.

Indexed as

AdolescentAdultAgedAged, 80 and overAntiviral AgentsChildChild, PreschoolDisease Transmission, InfectiousFemaleHepatitis C, ChronicHumansIncidenceInfantInfant, NewbornMaleMiddle AgedAntiviral Agentsincidencemathematical modelMiddle East and North Africaprevalencetreatment as prevention

Identifiers

PMID31133586
PMCPMC6537971
OpenAlexW2947314102

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.