Evidence map›Paper›PMID 33294889›Full record

ArticleSaudi medical journal2020

The effect of smoking on cognition as measured by Cambridge Neuropsychological Test Automated Battery (CATNAB) and brain-derived neurotrophic factor plasma levels.

Arwa Ali S Al-Mshari, Mona H AlSheikh, Rabia Latif, Sadaf Mumtaz

Abstract read
In one paragraph

Article in Saudi medical journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

4 authors.

Arwa Ali S Al-MshariDepartment of Biomedical Sciences, College of Medicine, King Faisal University, Al-Ahsa, Kingdom of Saudi Arabia. E-mail. almashari.ar@gmail.com.
Mona H AlSheikh
Rabia Latif
Sadaf Mumtaz

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo establish an association between cigarette smoking, cognition, and plasma brain-derived neurotrophic factor (BDNF) levels in healthy young adults.

methodsThis was an ex post facto analytic cross-sectional study conducted between March and November 2018. Participants were 73 healthy males (31 smokers and 42 non-smokers), 17-33 years old. The cognitive function of the participants was assessed through the Cambridge neuropsychological test automated battery (CANTAB). Blood samples were taken to measure the plasma levels of BDNF and the results were compared to identify the association between smoking related variables and cognitive test scores and plasma BDNF levels. A p-value of less than 0.05 was considered statistically significant.

resultsSmokers performed significantly worse than non-smokers in the multitasking test, including reaction time and rapid visual information processing. However, no significant association was observed between smoking related variables and cognitive test scores. The only significant positive correlation was found between plasma BDNF levels and the number of cigarettes smoked per day (r=0.480, p=0.024). No correlation was observed between other smoking related variables and plasma BDNF levels.

conclusionPlasma BDNF level is positively related to the number of cigarettes smoked per day. Young smokers have significantly impaired sustained attention and less ability to manage conflicting information as compared to age-matched non-smokers.

Indexed as

CognitionAdolescentAdultBrain-Derived Neurotrophic FactorCross-Sectional StudiesHealthy VolunteersHumansMaleNeuropsychological TestsTobacco SmokingYoung AdultBrain-Derived Neurotrophic Factor

Identifiers

PMID33294889
PMCPMC7841597

What OpenQuestion holds

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Registered trials

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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.