Evidence map›Paper›PMID 37038505›Full record

ArticleJournal of arthropod-borne diseases2022

Phytochemical Composition and Bioassay on Iranian

Saeedeh Ghafari, Azar Tahghighi, Khadijeh Shamakhte, Hamzeh Alipour, Naseh Maleki-Ravasan, Mehdi Nateghpour

Open access · diamondAbstract read
In one paragraph

Article in Journal of arthropod-borne diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 100% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. Bioactive profiling, larvicidal and pupicidal activities ofJournal of parasitic diseases : official organ of the Indian Society for Parasitology · 2025
    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

6 authors at 5 institutions in 1 country.

Saeedeh GhafariTraditional Medicine and Materia Medica Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Azar TahghighiMedicinal Chemistry Laboratory, Clinical Research Department, Pasteur Institute of Iran, Tehran, Iran.
Khadijeh ShamakhteDepartment of Biochemistry, Payame Noor University, Tehran, Iran.
Hamzeh AlipourResearch Center for Health Sciences, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran.
Naseh Maleki-RavasanDepartment of Parasitology, Pasteur Institute of Iran, Tehran, Iran.
Mehdi NateghpourDepartment of Medical Parasitology and Mycology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Pasteur Institute of Iran · IRPayame Noor University · IRShahid Beheshti University of Medical Sciences · IRShiraz University of Medical Sciences · IRTehran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Methods: The present study was undertaken to evaluate repellent and larvicidal activity of dichloromethane (DCMETP) and ethanolic extracts (EE-TP) of Results: Based on the results, DCME-TP showed better repellent activity than EE-TP with 56.67 and 28.33 % protection, respectively. Larvicidal activity of DCME-TP with 49.41% mortality was also higher than EE-TP (20.24%). The main identified constituents of DCME-TP were long chain alkanes, phenol, aromatic ester, oxaspiro and triterpenoid. While phenolic and aliphatic acid were only the identified components in EE-TP. It is notable that lupeol was detected in DCME of Conclusion: DCME-TP can be considered as a new herbal candidate to control

Indexed as

Anopheles stephensiLarvicidalPhytochemicalRepellentTeucrium polium

Identifiers

PMID37038505
PMCPMC10082410
OpenAlexW4318814600

What OpenQuestion holds

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LicenceCC BY-NC
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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.