Evidence map›Paper›PMID 34750673›Full record

ReviewLangenbeck's archives of surgery2022

Statistics decrypted-a comprehensive review and smartphone-assisted five-step approach for good statistical practice.

Laura C Guglielmetti, Fabio Faber-Castell, Lukas Fink, Raphael N Vuille-Dit-Bille

Abstract readReview
In one paragraph

Review in Langenbeck's archives of surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Routine Ophthalmological Examination Rates in Adults with Sickle Cell Disease Are Low and Must Be Improved.International journal of environmental research and public health · 2023
    Article
  6. 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.

Laura C GuglielmettiDepartment of Visceral and Thoracic Surgery, Cantonal Hospital of Winterthur, Winterthur, Switzerland.
Fabio Faber-CastellDepartment of Neurosurgery, University Hospital Zurich, Zurich, Switzerland.
Lukas FinkDepartment of Mathematics, Cantonal School of Wil, St. Gallen, Switzerland.
Raphael N Vuille-Dit-BilleDepartment of Pediatric Surgery, University Children's Hospital Basel, Spitalstrasse 33, 4056, Basel, Switzerland. rnvuille@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStatistic scripts are often made by mathematicians and cryptic for clinicians or non-mathematician scientists. Nevertheless, almost all research projects necessitate the application of some statistical tests or at least an understanding thereof. The present review aims on giving an overview of the most common statistical terms and concepts. It further ensures good statistical practice by providing a five-step approach guiding the reader to the correct statistical test. METHODS AND

resultsFirst, different types of variables and measurements to describe a data set with means of descriptive statistics are introduced. The basic thoughts and tools of interferential statistics are presented, and different types of bias are discussed. Then in the final paragraph, the most commonly used statistical tests are described. A smartphone app accessible via QR code finally guides the reader in five steps to the correct statistical test, depending on the data used in order to avoid commonly performed mistakes.

conclusionsThe five-step approach sets a new minimal standard for good statistical practice.

Indexed as

SmartphoneHumansFive-step approachGood statistical practiceSmartphone applicationStatistical analysisStatistical testStatistics

Identifiers

PMID34750673
PMCPMC8933355

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.