Evidence map›Paper›PMID 30961834›Full record

SynthesisChest2019

Comparison of All-Cause Mortality Following VTE Treatment Between Propensity Score-Adjusted Observational Studies and Matched Randomized Controlled Trials: Meta-Epidemiologic Study.

Claudia Coscia, Ana Jaureguizar, Carlos Andres Quezada, Alfonso Muriel, Manuel Monreal, Tomas Villén, Esther Barbero, Diana Chiluiza, Roger D Yusen, David Jimenez

Open access · bronzeAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in Chest, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
0.6field-weighted citation impact, top 28% of its field
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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. 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 at 6 institutions in 2 countries.

Claudia CosciaBiostatistics Department, Ramón y Cajal Hospital and Instituto Ramón y Cajal de Investigación Sanitaria IRYCIS, CIBERESP, Madrid, Spain.
Ana JaureguizarRespiratory Department, Hospital Ramón y Cajal, Medicine Department, Universidad de Alcala (IRYCIS), Madrid, Spain.
Carlos Andres QuezadaRespiratory Department, Hospital Ramón y Cajal, Medicine Department, Universidad de Alcala (IRYCIS), Madrid, Spain.
Alfonso MurielBiostatistics Department, Ramón y Cajal Hospital and Instituto Ramón y Cajal de Investigación Sanitaria IRYCIS, CIBERESP, Madrid, Spain. Electronic address: alfonso.muriel@hrc.es.
Manuel MonrealDepartment of Internal Medicine, Hospital Universitari Germans Trias i Pujol, Badalona, Barcelona, Universidad Católica de Murcia, Murcia, Spain.
Tomas VillénEmergency Department, Hospital Universitario La Paz, Madrid, Spain.
Esther BarberoRespiratory Department, Hospital Ramón y Cajal, Medicine Department, Universidad de Alcala (IRYCIS), Madrid, Spain.
Diana ChiluizaRespiratory Department, Hospital Ramón y Cajal, Medicine Department, Universidad de Alcala (IRYCIS), Madrid, Spain.
Roger D YusenDivisions of Pulmonary and Critical Care Medicine and General Medical Sciences, Washington University School of Medicine, St. Louis, MO.
David JimenezRespiratory Department, Hospital Ramón y Cajal, Medicine Department, Universidad de Alcala (IRYCIS), Madrid, Spain.
Instituto Ramón y Cajal de Investigación Sanitaria · ESCentro de Investigación Biomédica en Red de Epidemiología y Salud Pública · ESHospital Universitari Germans Trias i Pujol · ESHospital Universitario La Paz · ESUniversidad de Alcalá · ESWashington University in St. Louis · US

Funding

Instrumentation, Fabrication, and Design CoreP30EY019007 · NEI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Xin Zhang · 2010 to 2026
$12.9M
NEI NIH HHS P30 EY019007
6 · The paper itself

Abstract

backgroundIt is unknown whether propensity score-adjusted observational studies produce results comparable to those of randomized controlled trials (RCTs) that address similar VTE treatment issues.

methodsThe PubMed and Web of Science databases were systematically searched for propensity score-adjusted observational studies, RCTs, and meta-analyses of RCTs that estimated all-cause mortality following VTE treatment. After identifying distinct clinical treatment issues evaluated in the eligible observational studies, a standardized algorithm was used to identify and match at least one RCT or RCT meta-analysis publication for paired study design analyses. Meta-analyses were used to summarize groups of studies. Treatment efficacy statistics (relative ORs) were compared between the paired observational and RCT studies, and the summary relative ORs for all study design pairs were also calculated.

resultsThe observational and RCT study pairs assessed seven clinical treatment issues. Overall, the observational study-RCT pairs did not exhibit significantly different mortality estimates (summary relative OR, 0.89; 95% CI, 0.32-1.46; I

conclusionsThis systematic comparison across seven VTE treatment topics suggests that propensity score-adjusted observational studies and RCTs often exhibit similar all-cause mortality, although differences in the direction or the magnitude of estimated treatment effects may occasionally occur. TRIAL REGISTRY: PROSPERO; CRD42018087819; URL: http://www.crd.york.ac.uk/PROSPERO.

Indexed as

Epidemiologic StudiesPropensity ScoreAnticoagulantsCause of DeathGlobal HealthHumansObservational Studies as TopicRandomized Controlled Trials as TopicSurvival RateVenous ThromboembolismAnticoagulantsDVTobservational studiespulmonary embolismrandomized controlled trialsVTE

Identifiers

PMID30961834
PMCPMC6743207
OpenAlexW2898310148

What OpenQuestion holds

Textmetadata
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.