Evidence map›Paper›PMID 32613201›Full record

ArticleArchives of academic emergency medicine2020

Seizure Prediction Model in Acute Tramadol Poisoning; a Derivation and Validation study.

Elham Bazmi, Behnam Behnoush, Saeed Hashemi Nazari, Soheila Khodakarim, Amir Hossein Behnoush, Hamid Soori

Open access · greenAbstract read
In one paragraph

Article in Archives of academic emergency medicine, 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
0.7field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Elham BazmiDepartment of Epidemiology, Scho ol of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Behnam BehnoushDepartment of Forensic Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Saeed Hashemi NazariDepartment of Epidemiology, Scho ol of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Soheila KhodakarimDepartment of Epidemiology, Scho ol of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Amir Hossein BehnoushTehran University of Medical Sciences, Tehran, Iran.
Hamid SooriSafety Promotion and Injury Prevention Research center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Tehran University of Medical Sciences · IRShahid Beheshti University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSeizure is a common complication of tramadol poisoning and predicting it will help clinicians in preventing seizure and better management of patients. This study aimed to develop and validate a prediction model to assess the risk of seizure in acute tramadol poisoning.

methodsThis retrospective observational study was conducted on 909 patients with acute tramadol poisoning in Baharloo Hospital, Tehran, Iran, (2015-2019). Several available demographic, clinical, and para-clinical characteristics were considered as potential predictors of seizure and extracted from clinical records. The data were split into derivation and validation sets (70/30 split) via random sampling. Derivation set was used to develop a multivariable logistic regression model. The model was tested on the validation set and its performance was assessed with receiver operating characteristic (ROC) curve.

resultsThe mean (standard deviation (SD)) of patients' age was 23.75 (7.47) years and 683 (75.1%) of them were male. Seizures occurred in 541 (60%) patients.  Univariate analysis indicated that sex, pulse rate (PR), arterial blood Carbone dioxide pressure (PCO

conclusionRepresentation of this model as a decision tree could help clinicians to identify high-risk patients with tramadol poisoning-induced seizure and in decision-making at triage of emergency departments in hospitals.

Indexed as

Clinical decision-makingpoisoningseizurestramadol

Identifiers

PMID32613201
PMCPMC7305636
OpenAlexW3031827336

What OpenQuestion holds

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LicenceCC BY
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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.