Evidence map›Paper›PMID 35714631›Full record

ArticleThe Lancet. Global health2022

Investing in late-stage clinical trials and manufacturing of product candidates for five major infectious diseases: a modelling study of the benefits and costs of investment in three middle-income countries.

Marco Schäferhoff, Armand Zimmerman, Mohamed M Diab, Wenhui Mao, Vipul Chowdhary, Davinder Gill, Robert Karanja, Mziwandile Madikizela, Osondu Ogbuoji, Gavin Yamey

Open access · goldAbstract read
In one paragraph

Article in The Lancet. Global health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 7% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 3 countries.

Marco SchäferhoffOpen Consultants, Berlin, Germany. Electronic address: mschaeferhoff@openconsultants.org.
Armand ZimmermanCenter for Policy Impact in Global Health, Duke Global Health Institute, Duke University, Durham, NC, USA.
Mohamed M DiabCenter for Policy Impact in Global Health, Duke Global Health Institute, Duke University, Durham, NC, USA.
Wenhui MaoCenter for Policy Impact in Global Health, Duke Global Health Institute, Duke University, Durham, NC, USA.
Vipul ChowdharyPolicy Cures Research, Sydney, NSW, Australia.
Davinder GillCambridge, MA, USA.
Robert KaranjaVillgro Africa, Nairobi, Kenya.
Mziwandile MadikizelaGraduate School of Technology Management, University of Pretoria, South Africa.
Osondu OgbuojiCenter for Policy Impact in Global Health, Duke Global Health Institute, Duke University, Durham, NC, USA.
Gavin YameyCenter for Policy Impact in Global Health, Duke Global Health Institute, Duke University, Durham, NC, USA.
Duke University · USDuke Institute for Health Innovation · USPolicy Cures · AUUniversity of Pretoria · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInvesting in late-stage clinical trials, trial sites, and production capacity for new health products could improve access to vaccines, therapeutics, and infectious disease diagnostics in middle-income countries. This study assesses the case for such investment in three of these countries: India, Kenya, and South Africa.

methodsWe applied investment case modelling and assessed how many cases, deaths, and disability-adjusted life years (DALYs) could be averted from the development and manufacturing of new technologies (therapeutics and vaccines) in these countries from 2021 to 2036, for five diseases-HIV, tuberculosis, malaria, pneumonia, and diarrhoeal diseases. We also estimated the economic benefits that might accrue from making these investments and we developed benefit-cost ratios for each of the three middle-income countries. Our modelling applies two investment case perspectives: a societal perspective with all costs and benefits measured at the societal level, and a country perspective to estimate how much health and economic benefit accrues to each middle-income country for every dollar invested in clinical trials and manufacturing by the middle-income country government. For each perspective, we modelled two scenarios: one that considers only domestic health and economic benefits; and one that includes regional health and economic benefits. In the regional scenarios, we assumed that new products developed and manufactured in India would benefit eight countries in south Asia, whereas new products developed and manufactured in Kenya would benefit all 21 countries in the Common Market for Eastern and Southern Africa (COMESA). We also assumed that all 16 countries in the Southern African Development Community (SADC) would benefit from products developed and manufactured in South Africa.

findingsFrom 2021 to 2036, product development and manufacturing in Kenya could avert 4·44 million deaths and 206·27 million DALYs in the COMESA region. In South Africa, it could prevent 5·19 million deaths and 253·83 million DALYs in the SADC region. In India, it could avert 9·76 million deaths and 374·42 million DALYs in south Asia. Economic returns would be especially high if new tools were produced for regional markets rather than for domestic markets only. Under a societal perspective, regional returns outweigh investments by a factor of 20·51 in Kenya, 33·27 in South Africa, and 66·56 in India. Under a country perspective, the regional benefit-cost ratios amount to 60·71 in India, 8·78 in Kenya, and 11·88 in South Africa.

interpretationOur study supports the creation of regional hubs for clinical trials and product manufacturing compared with narrow national efforts.

fundingBill & Melinda Gates Foundation.

Indexed as

Communicable DiseasesDeveloping CountriesClinical Trials as TopicCost-Benefit AnalysisHumansIndiaInvestments

Identifiers

PMID35714631
PMCPMC9210258
OpenAlexW4282942737

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.