Evidence map›Paper›PMID 30140776›Full record

ArticleContemporary clinical trials communications2018

Sample size estimation practices in research protocols submitted to Danish scientific ethics committees.

Marius Mølsted Flege, Simon Francis Thomsen

Abstract read
In one paragraph

Article in Contemporary clinical trials communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Marius Mølsted FlegeDepartment of Dermatology, Bispebjerg Hospital, Copenhagen, Denmark.
Simon Francis ThomsenDepartment of Dermatology, Bispebjerg Hospital, Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSample size in research projects is estimated before initiation of the study to minimise type 1 and type 2 error, while keeping the study's financial cost and subject enrolment to a minimum. This study investigates project-specific factors potentially associated with correct estimation of sample size in study protocols.

methodsExamination of 189 non-commercially sponsored study protocols (84 randomised controlled trials (RCTs) and 105 non-RCT studies) submitted to the Scientific Ethics Committees of The Capitol Region of Denmark from 2013 to 2015.

results119 (63%) study protocols contained a sample size calculation, with a significantly higher rate of sample size calculations in RCT vs non-RCT study protocols (76% vs. 52%, p < 0.001). Significantly more intervention studies than non-intervention studies (69% vs 52%, p = 0.020), studies including blood samples compared to those without (69% vs. 55%, p = 0.045), studies funded by a foundation donation compared to those with no funding (68% vs. 49%, p = 0.040) performed sample size calculations. Further, increasing number of sick patients enrolled (p = 0.048) and newer studies (p = 0.032) were more likely to include a sample size calculation in the protocol.

conclusionsEstimation of sample size is more often reported in RCT than non-RCT study protocols. Also, intervention studies, studies funded by a foundation donation, studies including blood samples, studies with a greater amount of sick participants and chronologically newer study protocols more often reported a sample size calculation.

Identifiers

PMID30140776
PMCPMC6104346

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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.