Evidence map›Paper›PMID 33304797›Full record

ArticleAfrican journal of emergency medicine : Revue africaine de la medecine d'urgence2020

Research skills and the data spreadsheet: A research primer for low- and middle-income countries.

David McD Taylor, Peter W Hodkinson, Abdus Salam Khan, Erin L Simon

Abstract read
In one paragraph

Article in African journal of emergency medicine : Revue africaine de la medecine d'urgence, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Free software applications for authors for writing a research paper.Journal of family medicine and primary care · 2023
    Review
  3. Article
  4. 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.

David McD TaylorDepartment of Medicine, University of Melbourne, Parkville, Victoria, Australia.
Peter W HodkinsonDivision of Emergency Medicine, University of Cape Town, Groote Schuur Hospital, Cape Town, South Africa.
Abdus Salam KhanShifa International Hospital, Islamabad, Pakistan.
Erin L SimonCleveland Clinic Akron General, Department of Emergency Medicine, Akron, OH, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The specialty of Emergency Medicine continues to expand and mature worldwide. As a relatively new specialty, the body of research that underpins patient management in the emergency department (ED) setting needs to be expanded for optimum patient care. Research in the ED, however, is complicated by a number of issues including limited time and resources, urgency for some therapeutic investigations and interventions, and difficulties in obtaining truly informed patient consent. Notwithstanding these issues, many of the fundamental principles of medical research apply equally to ED research. In all medical disciplines, data needs to be collected, collated and stored for analysis and a data spreadsheet is employed for this purpose. Like other aspects of clinical research, the use of the data spreadsheet needs to be exacting and appropriate. This research primer explores the choice of available spreadsheets and a range of principles for their best-practice use. It is deliberately, not an exhaustive review of the subject. However, we aim to explore basic principles and some of the most accessible and widely used data spreadsheets.

Indexed as

DataResearchSpreadsheet

Identifiers

PMID33304797
PMCPMC7718460

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.