Evidence map›Paper›PMID 22279319›Full record

ArticleIndian journal of urology : IJU : journal of the Urological Society of India2011

Sample size matters: A guide for urologists.

Peter Hinh, Steven E Canfield

Abstract read
In one paragraph

Article in Indian journal of urology : IJU : journal of the Urological Society of India, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Peter HinhDivision of Urology, University of Texas Medical School at Houston, Houston, Texas, USA.
Steven E Canfield

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding sample size calculation is vitally important for planning and conducting clinical research, and critically appraising literature. The purpose of this paper is to present basic statistical concepts and tenets of study design pertaining to calculation of requisite sample size. This paper also discusses the significance of sample size calculation in the context of ethical considerations. Scenarios applicable to urology are utilized in presenting concepts.

Indexed as

Evidence-based practiceresearchstatistics

Identifiers

PMID22279319
PMCPMC3263221

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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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.