Evidence map›Paper›PMID 24432147›Full record

ArticleSystems and synthetic biology2013

Synthetic biology: ensuring the greatest global value.

Aidan Hollis

Abstract read
In one paragraph

Article in Systems and synthetic biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

1 author.

Aidan HollisDepartment of Economics, University of Calgary, Calgary, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Synthetic biology (SynBio) has tremendous, transformative potential. Like other technologies, it can be used for good or ill. Currently, the structure of the allocation of potential benefits and risks is biased in favor of richer countries. The underlying problem is simple: most risks from SynBio are universal and affect both the rich and the poor with equal force; but benefits from SynBio can be expected to accrue chiefly to the rich. The risk/benefit balance is therefore skewed in a way that may lead to inefficient and unfair decisions. One potential solution is presented in this paper, using the principles that underlie the Health Impact Fund (HIF). The HIF is designed to reward companies based on assessed health impact, no matter where it occurs in the world, so that extending the life of a poor person is as profitable as extending the life of a rich person. This paper considers both the potential benefits and costs of SynBio; examines how the current global pharmaceutical industry is structured; introduces the HIF proposal; and finally explores how the principles underlying the HIF could be used productively with SynBio for global health.

Indexed as

Health Impact FundIncentivesSynBio

Identifiers

PMID24432147
PMCPMC3740104

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.