Evidence map›Paper›PMID 29770210›Full record

ArticleF1000Research2018

Identification of publicly available data sources to inform the conduct of Health Technology Assessment in India.

Laura Downey, Neethi Rao, Lorna Guinness, Miqdad Asaria, Shankar Prinja, Anju Sinha, Rajni Kant, Arvind Pandey, Francoise Cluzeau, Kalipso Chalkidou

Abstract read
In one paragraph

Article in F1000Research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Strategies of Modelling Incident Outcomes Using Cox Regression to Estimate the Population Attributable Risk.International journal of environmental research and public health · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Health technology assessment in India: Reflection & future roadmap.The Indian journal of medical research · 2020
    Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

10 authors.

Laura DowneyInstitute of Global Health Innovation, Imperial College London, London, W2 1NY, UK.
Neethi RaoInstitute of Global Health Innovation, Imperial College London, London, W2 1NY, UK.
Lorna GuinnessInstitute of Global Health Innovation, Imperial College London, London, W2 1NY, UK.ORCID https://orcid.org/0000-0002-1013-4200
Miqdad AsariaInstitute of Global Health Innovation, Imperial College London, London, W2 1NY, UK.ORCID https://orcid.org/0000-0002-3538-4417
Shankar PrinjaPost Graduate Institute of Medical Education and Research, Chandigarh, 160012, India.
Anju SinhaIndian Council of Medical Research, New Delhi, 110029, India.
Rajni KantIndian Council of Medical Research, New Delhi, 110029, India.
Arvind PandeyNational Institute of Medical Statistics , New Delhi, 110058, India.
Francoise CluzeauInstitute of Global Health Innovation, Imperial College London, London, W2 1NY, UK.
Kalipso ChalkidouInstitute of Global Health Innovation, Imperial College London, London, W2 1NY, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

dataHealth EconomicsHealth Technology AssessmentIndia

Identifiers

PMID29770210
PMCPMC5930391

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.