Evidence mapPaperPMID 32059593Full record

SynthesisInternational journal of environmental research and public health2020

Economic Evaluations Informed Exclusively by Real World Data: A Systematic Review.

Elizabeth Parody-Rúa, Maria Rubio-Valera, César Guevara-Cuellar, Ainhoa Gómez-Lumbreras, Marc Casajuana-Closas, Cristina Carbonell-Duacastella, Ignacio Aznar-Lou

Abstract readSystematic Review
In one paragraph

Synthesis in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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.

Elizabeth Parody-RúaTeaching, Research & Innovation Unit, Parc Sanitari Sant Joan de Déu-Institut de Recerca Sant Joan de Déu, 08830 Barcelona, Spain.
Maria Rubio-ValeraTeaching, Research & Innovation Unit, Parc Sanitari Sant Joan de Déu-Institut de Recerca Sant Joan de Déu, 08830 Barcelona, Spain.
César Guevara-CuellarMedicine Department, Health Science School, Universidad Icesi, Cali, Colombia.
Ainhoa Gómez-LumbrerasInstitut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAPJGol), 08007, Barcelona, Spain.
Marc Casajuana-ClosasInstitut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAPJGol), 08007, Barcelona, Spain.
Cristina Carbonell-DuacastellaTeaching, Research & Innovation Unit, Parc Sanitari Sant Joan de Déu-Institut de Recerca Sant Joan de Déu, 08830 Barcelona, Spain.
Ignacio Aznar-LouTeaching, Research & Innovation Unit, Parc Sanitari Sant Joan de Déu-Institut de Recerca Sant Joan de Déu, 08830 Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Economic evaluations using Real World Data (RWD) has been increasing in the very recent years, however, this source of information has several advantages and limitations. The aim of this review was to assess the quality of full economic evaluations (EE) developed using RWD. A systematic review was carried out through articles from the following databases: PubMed, Embase, Web of Science and Centre for Reviews and Dissemination. Included were studies that employed RWD for both costs and effectiveness. Methodological quality of the studies was assessed using the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) checklist. Of the 14,011 studies identified, 93 were included. Roughly half of the studies were carried out in a hospital setting. The most frequently assessed illnesses were neoplasms while the most evaluated interventions were pharmacological. The main source of costs and effects of RWD were information systems. The most frequent clinical outcome was survival. Some 47% of studies met at least 80% of CHEERS criteria. Studies were conducted with samples of 100-1000 patients or more, were randomized, and those that reported bias controls were those that fulfilled most CHEERS criteria. In conclusion, fewer than half the studies met 80% of the CHEERS checklist criteria.

Indexed as

ChecklistEconomicsCost-Benefit AnalysisData AnalysisHumansReference Standardseconomic evaluationelectronic health recordsreal world datareal world evidencesystematic review

Identifiers

PMID32059593
PMCPMC7068655

What Socratic 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 Socratic graph.