Evidence map›Paper›PMID 30488003›Full record

ReviewRMD open2018

Rare diseases under different levels of economic analysis: current activities, challenges and perspectives.

Sara Cannizzo, Valentina Lorenzoni, Ilaria Palla, Salvatore Pirri, Leopoldo Trieste, Isotta Triulzi, Giuseppe Turchetti

Abstract readReview
In one paragraph

Review in RMD open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 3 pooled it
–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

28 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
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  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Literature Review on Health Emigration in Rare Diseases-A Machine Learning Perspective.International journal of environmental research and public health · 2023
    Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. The Financial Burden of Surgery for Congenital Malformations-The Austrian Perspective.International journal of environmental research and public health · 2021
    Article
  19. Article
  20. Review
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.

Sara CannizzoInstitute of Management, Scuola Superiore Sant'Anna, Pisa, Italy.
Valentina LorenzoniInstitute of Management, Scuola Superiore Sant'Anna, Pisa, Italy.
Ilaria PallaInstitute of Management, Scuola Superiore Sant'Anna, Pisa, Italy.
Salvatore PirriInstitute of Management, Scuola Superiore Sant'Anna, Pisa, Italy.
Leopoldo TriesteInstitute of Management, Scuola Superiore Sant'Anna, Pisa, Italy.
Isotta TriulziInstitute of Management, Scuola Superiore Sant'Anna, Pisa, Italy.
Giuseppe TurchettiInstitute of Management, Scuola Superiore Sant'Anna, Pisa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rare diseases imply clinical and economic burden as well as a significant challenge for health systems. One relevant objective of the activities planned within the European Reference Network on Rare and Complex Connective Tissue and Musculoskeletal Diseases (ERN ReCONNET) is to address the economic dimensions of rare diseases to identify, develop and suggest strategies to improve research and patients' access to orphan drugs (ODs) and highly specialised health technologies. This paper presents a preliminary review of the existing policies on rare diseases in the countries of the Network members. It also introduces and discusses the theme of

Indexed as

autoimmune diseaseseconomic evaluationshealth services researchpatient perspective

Identifiers

PMID30488003
PMCPMC6241967

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.