Evidence map›Paper›PMID 32238789›Full record

Observational studyKorean journal of anesthesiology2020

A brief introduction to propensity score for anesthesiologists.

Alessandro De Cassai, Giulio Andreatta, Annalisa Boscolo, Marina Munari, Paolo Navalesi

Abstract readObservational Study
In one paragraph

Observational study in Korean journal of anesthesiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Reducing bias in observational studies.Korean journal of anesthesiology · 2020
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Alessandro De CassaiUOC Anaesthesia and Intensive Care Unit, University Hospital of Padua, Padua, Italy.
Giulio AndreattaUOC Anaesthesia and Intensive Care Unit, University Hospital of Padua, Padua, Italy.
Annalisa BoscoloUOC Anaesthesia and Intensive Care Unit, University Hospital of Padua, Padua, Italy.
Marina MunariUOC Anaesthesia and Intensive Care Unit, University Hospital of Padua, Padua, Italy.
Paolo NavalesiDepartment of Medicine-DIMED, University of Padua, Padua, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intergroup comparability is of paramount importance in clinical research since it is impossible to draw conclusions on a treatment if populations with different characteristics are compared. While an adequate randomization process in randomized controlled trials (RCTs) ensures a balanced distribution of subjects between groups, the distribution in observational prospective and retrospective studies may be influenced by many confounders.<br/> Propensity score (PS) is a statistical technique that was developed more than 30 years ago with the purpose of estimating the probability to be assigned to a group. Once evaluated, the PS could be used to adjust and balance the groups using different methods such as matching, stratification, covariate adjustment, and weighting. The validity of PS is strictly related to the confounders used in the model, and confounders that are either not identified or not available will produce biases in the results. RCTs will therefore continue to provide the highest quality of evidence, but PS allows fine adjustments on otherwise unbalanced groups, which will increase the strength and quality of observational studies.

Indexed as

Data Interpretation, StatisticalPropensity ScoreAdultAgedAnesthesiologistsFemaleHumansMaleMiddle AgedProspective StudiesRetrospective StudiesMatched analysisObservational studyPropensity scoreRetrospective studyStatistical analysisStatistics

Identifiers

PMID32238789
PMCPMC7403107

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.