Evidence map›Paper›PMID 23949188›Full record

ReviewMedical principles and practice : international journal of the Kuwait University, Health Science Centre2014

A simplified and structured teaching tool for the evaluation and management of pulseless electrical activity.

Laszlo Littmann, Devin J Bustin, Michael W Haley

Open access · diamondAbstract readReview
In one paragraph

Review in Medical principles and practice : international journal of the Kuwait University, Health Science Centre, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 35% of its field
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Pulseless Electrical Activity: Detection of Underlying Causes in a Prehospital Setting.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2021
    Review
  6. Article
  7. 65-year-old Female with Cardiac Arrest and Return of Spontaneous Circulation.Clinical practice and cases in emergency medicine · 2018
    Article
  8. Article
  9. Article
  10. 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

3 authors.

Laszlo LittmannDepartment of Internal Medicine, Carolinas Medical Center, Charlotte, N.C., USA.
Devin J Bustin
Michael W Haley

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiac arrest victims who present with pulseless electrical activity (PEA) usually have a grave prognosis. Several conditions, however, have cause-specific treatments which, if applied immediately, can lead to quick and sustained recovery. Current teaching focuses on recollection of numerous conditions that start with the letters H or T as potential causes of PEA. This teaching method is too complex, difficult to recall during resuscitation, and does not provide guidance to the most effective initial interventions. This review proposes a structured algorithm that is based on the differentiation of the PEA rhythm into narrow- or wide-complex subcategories, which simplifies the working differential and initial treatment approach. This, in conjunction with bedside ultrasound, can quickly point towards the most likely cause of PEA and thus guide resuscitation.

Indexed as

Clinical ProtocolsAlgorithmsDiagnosis, DifferentialEchocardiographyElectrocardiographyHeart ArrestHumansPrognosisResuscitation

Identifiers

PMID23949188
PMCPMC5586830
OpenAlexW1489905943

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.