Evidence map›Paper›PMID 38089415›Full record

ArticleAvicenna journal of phytomedicine

Antidepressant effects of a Persian herbal formula on mice with chronic unpredictable mild stress.

Hakimeh Gavzan, Atefeh Araghi, Behrokh Marzban Abbasabadi, Nastaran Talebpour, Hannaneh Golshahi

Open access · greenAbstract read
In one paragraph

Article in Avicenna journal of phytomedicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.6field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 4 citations in OpenAlex.

  1. Pharmaceutical biology · 2026
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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

5 authors at 1 institution in 1 country.

Hakimeh GavzanDepartment of Basic Sciences, Faculty of Veterinary Medicine, Amol University of Special Modern Technologies, Amol, Iran.
Atefeh AraghiDepartment of Clinical Sciences, Faculty of Veterinary Medicine, Amol University of Special Modern Technologies, Amol, Iran.
Behrokh Marzban AbbasabadiDepartment of Basic Sciences, Faculty of Veterinary Medicine, Amol University of Special Modern Technologies, Amol, Iran.
Nastaran TalebpourDepartment of Basic Sciences, Faculty of Veterinary Medicine, Amol University of Special Modern Technologies, Amol, Iran.
Hannaneh GolshahiNanobiotechnology Research Center, Avicenna Research Institute, ACERCR, Tehran, Iran.
Amol University of Special Modern Technologies · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Depression is a serious mental disorder. Despite numerous medications, there are still limitations in depression treatment. So, herbal medicine has been considered an alternative therapy. This survey evaluated the effects of a Persian herbal formula on mice with chronic unpredictable mild stress (CUMS). Materials and Methods: A combination of Results: This formula significantly increased SPT (p<0.001) and decreased immobility time in FST and TST (p<0.01), but it was not effective on EPM vs. CUMS mice. The herbal formula did not change the serum level of creatinine or ALT, but insignificantly reduced cortisol vs. CUMS and vehicle groups. SOD activity increased in the brain vs. vehicle group (p<0.05). There were no changes in histological examination. Conclusion: The herbal formula improved depression-like behaviors which are possibly related to its anti-oxidative effect on the brain. Also, it did not cause any negative changes in the biochemical and histopathological analysis.

Indexed as

AnxietyBiochemical parametersCUMSDepressionStress

Identifiers

PMID38089415
PMCPMC10711572
OpenAlexW4389798974

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.