Evidence map›Paper›PMID 38167207›Full record

ArticleGlobalization and health2024

Is the commercial determinants conversation confined to the health sciences? Potentially, and that's a problem.

Luc Louis Hagenaars, Nason Maani, Laura Anne Schmidt

Abstract read
In one paragraph

Article in Globalization and health, 2024. 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. Article
  2. Article
  3. Article
  4. Article
  5. Health beyond borders: the future of health promotion.Scandinavian journal of public health · 2025
    Article
  6. Article
  7. 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

3 authors.

Luc Louis HagenaarsUniversity of California San Francisco School of Medicine, Philip R. Lee Institute for Health Policy Studies, Campus Box 0936, 490 Illinois Street, Floor 7, San Francisco, CA, 94158, USA. l.l.hagenaars@amsterdamumc.nl.ORCID 0000-0001-9043-0706
Nason MaaniGlobal Health Policy Unit, School of Social and Political Science, University of Edinburgh, 15a George Square, Edinburgh, UK.
Laura Anne SchmidtUniversity of California San Francisco School of Medicine, Philip R. Lee Institute for Health Policy Studies, Campus Box 0936, 490 Illinois Street, Floor 7, San Francisco, CA, 94158, USA.

Funding

Commonwealth Fund Harkness Fellowship
6 · The paper itself

Abstract

The commercial determinants of health (CDoH) are attracting increased interest and are of great importance when discussing how trade affects health. Through a citation analysis of recent foundational CDoH documents (a Lancet paper series and an Oxford University textbook), we find that fully 71% of all citations reference the health sciences. The health sciences may be well suited to documenting the specific pathways of how commercial (by)products and practices harm human health. However, to operationalize upstream solutions for mitigating these harms, our citation analysis suggests that the field can engage political scientists, economists, sociologists, the trade law and business, as well as advocates in civil society and journalism, more so than it currently does. With CDoH explicitly referring to the interaction between commerce and health, CDoH researchers might be uniquely positioned to get health on the agenda of others, which requires that CDoH methods, datasets, evidence reviews, and proposed interventions are drawn from the widest possible range of sources.

Indexed as

CommerceMedicineHumansCitation analysisCommerceMedicineMeta researchTrade

Identifiers

PMID38167207
PMCPMC10759639

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.