Evidence map›Paper›PMID 35064182›Full record

ArticleNPJ digital medicine2022

Grass-roots entrepreneurship complements traditional top-down innovation in lung and breast cancer.

Khalil B Ramadi, Rhea Mehta, David He, Sichen Chao, Zen Chu, Rifat Atun, Freddy T Nguyen

Abstract read
In one paragraph

Article in NPJ digital medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Khalil B RamadiHacking Medicine, Massachusetts Institute of Technology, Cambridge, MA, USA. kramadi@mit.edu.ORCID http://orcid.org/0000-0002-5864-2386
Rhea MehtaHacking Medicine, Massachusetts Institute of Technology, Cambridge, MA, USA.
David HeHacking Medicine, Massachusetts Institute of Technology, Cambridge, MA, USA.
Sichen ChaoHacking Medicine, Massachusetts Institute of Technology, Cambridge, MA, USA.
Zen ChuHacking Medicine, Massachusetts Institute of Technology, Cambridge, MA, USA.
Rifat AtunDivision of Engineering, New York University Abu Dhabi, Abu Dhabi, UAE.ORCID http://orcid.org/0000-0002-1531-5983
Freddy T NguyenHacking Medicine, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-0106-8114

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The majority of biomedical research is funded by public, governmental, and philanthropic grants. These initiatives often shape the avenues and scope of research across disease areas. However, the prioritization of disease-specific funding is not always reflective of the health and social burden of each disease. We identify a prioritization disparity between lung and breast cancers, whereby lung cancer contributes to a substantially higher socioeconomic cost on society yet receives significantly less funding than breast cancer. Using search engine results and natural language processing (NLP) of Twitter tweets, we show that this disparity correlates with enhanced public awareness and positive sentiment for breast cancer. Interestingly, disease-specific venture activity does not correlate with funding or public opinion. We use outcomes from recent early-stage innovation events focused on lung cancer to highlight the complementary mechanism by which bottom-up "grass-roots" initiatives can identify and tackle under-prioritized conditions.

Identifiers

PMID35064182
PMCPMC8782943

What OpenQuestion holds

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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.