Evidence map›Paper›PMID 34150234›Full record

ArticleJournal of environmental health science & engineering2021

Learning and memory disorders related to hippocampal inflammation following exposure to air pollution.

Mojtaba Ehsanifar, Ahmad Jonidi Jafari, Zeinab Montazeri, Roshanak Rezaei Kalantari, Mitra Gholami, Azadeh Ashtarinezhad

Open access · greenAbstract read
In one paragraph

Article in Journal of environmental health science & engineering, 2021. 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
3.0field-weighted citation impact, top 9% 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, 40 citations in OpenAlex.

  1. Pooled it
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  5. Review
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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 1 institution in 1 country.

Mojtaba EhsanifarAnatomical Sciences Research Center, Kashan University of Medical Sciences, Kashan, Iran.ORCID 0000-0003-1005-2501
Ahmad Jonidi JafariResearch Center for Environmental Health Technology and department of Environmental Health Engineering, School of public health, Iran University of Medical Sciences, Tehran, Iran.
Zeinab MontazeriInstitute of Endocrinology and Metabolism Research and Training Center, Iran University of Medical Sciences, Tehran, Iran.
Roshanak Rezaei KalantariResearch Center for Environmental Health Technology and department of Environmental Health Engineering, School of public health, Iran University of Medical Sciences, Tehran, Iran.
Mitra GholamiResearch Center for Environmental Health Technology and department of Environmental Health Engineering, School of public health, Iran University of Medical Sciences, Tehran, Iran.
Azadeh AshtarinezhadDepartment of Occupational health engineering, School of public health, Iran University of medical sciences, Tehran, Iran.
Iran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has been demonstrated that sub-chronic exposure to air pollution containing nanoscale (˂100 nm) diesel exhaust particles (DEPs) may lead to excessive oxidative stress and neuro-inflammation in adult male mice. Hereby, we investigated the effects of DEPs on hippocampus-dependent spatial learning and neuro-inflammation and memory-related gene expression in male mice. In this study, we divided 48 adult NMRI male mice into control group VS. three exposure groups. Mice were exposed to 300-350 μg/m

Indexed as

Air pollutionDiesel exhaust particlesLearning and memoryNanotoxicologyNeuroinflammation

Identifiers

PMID34150234
PMCPMC8172730
OpenAlexW3125542670

What OpenQuestion holds

Textmetadata
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.