Evidence map›Paper›PMID 36050978›Full record

ReviewIndian journal of thoracic and cardiovascular surgery2022

The importance of randomization in clinical research.

Varun Sundaram, Padmini Selvaganesan, Salil Deo, Mohamad Karnib

Abstract readReview
In one paragraph

Review in Indian journal of thoracic and cardiovascular surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Varun SundaramLouis Stokes Veteran Affairs Medical Center, Cleveland, OH 44106 USA.
Padmini SelvaganesanLouis Stokes Veteran Affairs Medical Center, Cleveland, OH 44106 USA.
Salil DeoLouis Stokes Veteran Affairs Medical Center, Cleveland, OH 44106 USA.
Mohamad KarnibLouis Stokes Veteran Affairs Medical Center, Cleveland, OH 44106 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies evaluating average treatment effects (ATE) of an intervention could broadly be classified into those with observational and randomized designs. Observational studies are limited by confounding, in addition to selection and information bias, making the evaluation of ATE hypothesis generating and not hypothesis testing. Randomization attempts to reduce the systemic error introduced by observational studies by ensuring equal distribution of prognostic factors between the treatment and control groups, thereby confirming that any difference in outcomes observed between the two groups is attributable to the treatment. While randomized controlled trials (RCT) remain the gold standard in estimating ATE of therapeutic interventions, they do have inherent limitations due to uncertain external validity. Observational studies can have a complementary role in enhancing RCTs' ability to inform routine clinical practice. In this review, we focus on the limitations of observational studies, the need for randomization, interpretation, and the limitations of RCTs.

Indexed as

Average treatment effectsRandomizationRCT

Identifiers

PMID36050978
PMCPMC9424468

What Socratic 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 Socratic graph.