Evidence map›Paper›PMID 38860200›Full record

ArticleJournal of arthropod-borne diseases2023

Preliminary Analysis of Methamphetamine Detection in

Seyedeh Zahra Parkhideh, Mehdi Forouzesh, Maryam Akhgari, Leila Bahmanabadi, Farzaneh Jokar, Samira Valiyari, Kamran Akbarzadeh, Sara Rahimi, Ali Mohammad Alimohammadi, Sayena Rafizadeh and 1 more

Abstract read
In one paragraph

Article in Journal of arthropod-borne diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

11 authors.

Seyedeh Zahra ParkhidehDepartment of Vector Biology and Control of Diseases, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Mehdi ForouzeshLegal Medicine Research Center, Legal Medicine Organization, Tehran, Iran.
Maryam AkhgariLegal Medicine Research Center, Legal Medicine Organization, Tehran, Iran.
Leila BahmanabadiLegal Medicine Research Center, Legal Medicine Organization, Tehran, Iran.
Farzaneh JokarLegal Medicine Research Center, Legal Medicine Organization, Tehran, Iran.
Samira ValiyariLegal Medicine Research Center, Legal Medicine Organization, Tehran, Iran.
Kamran AkbarzadehDepartment of Vector Biology and Control of Diseases, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Sara RahimiMedicinal Plants Research Center, Maragheh University of Medical Sciences, Maragheh, Iran.
Ali Mohammad AlimohammadiLegal Medicine Research Center, Legal Medicine Organization, Tehran, Iran.
Sayena RafizadehMinistry of Health and Medical Education, Tehran, Iran.
Yavar RassiDepartment of Vector Biology and Control of Diseases, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: It is possible to identify drugs and poisons present in cadavers by analyzing blowfly larvae and pupae collected during forensic autopsies. The main purpose of this study was to use Methods: In an investigation, immature Results: According to this study, Conclusion: Low quantities of MA can be easily found in immature fly samples using GC-MS. It is important to analyze all samples including human tissues and insect samples, for postmortem drug testing. They can be utilized to find entire MA before they are excreted in excretory samples such as urine. Also, third instar larvae are a great and reliable sample for toxicological study.

Indexed as

Drug testingEntomotoxicologyGC-MSLucilia sericataMethamphetamine

Identifiers

PMID38860200
PMCPMC11162541

What OpenQuestion holds

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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.