Evidence map›Paper›PMID 33520409›Full record

ArticleNeurology. Clinical practice2020

Smartphone use and primary headache: A cross-sectional hospital-based study.

Pratik Uttarwar, Deepti Vibha, Kameshwar Prasad, Achal Kumar Srivastava, Awadh Kishor Pandit, Sada Nand Dwivedi

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Article in Neurology. Clinical practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
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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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Pratik UttarwarDepartment of Neurology (PU, DV, KP, AKS, AKP) and Department of Biostatistics (SND), All India Institute of Medical Sciences, New Delhi, India.
Deepti VibhaDepartment of Neurology (PU, DV, KP, AKS, AKP) and Department of Biostatistics (SND), All India Institute of Medical Sciences, New Delhi, India.
Kameshwar PrasadDepartment of Neurology (PU, DV, KP, AKS, AKP) and Department of Biostatistics (SND), All India Institute of Medical Sciences, New Delhi, India.
Achal Kumar SrivastavaDepartment of Neurology (PU, DV, KP, AKS, AKP) and Department of Biostatistics (SND), All India Institute of Medical Sciences, New Delhi, India.
Awadh Kishor PanditDepartment of Neurology (PU, DV, KP, AKS, AKP) and Department of Biostatistics (SND), All India Institute of Medical Sciences, New Delhi, India.
Sada Nand DwivediDepartment of Neurology (PU, DV, KP, AKS, AKP) and Department of Biostatistics (SND), All India Institute of Medical Sciences, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine the association of smartphone use with occurrence of new-onset headache and/or increased severity of headaches in patients with primary headache.

methodsIn a cross-sectional study between June 2017 and December 2018, patients with primary headache were divided into 2 groups: smartphone users (SUs) and non-smartphone users (NSUs). A questionnaire was administered for headache characteristics and treatment taken. The primary objective was to determine the association of smartphone use with new-onset headache or increase severity. The secondary objective was to determine any differences in the requirement of acute medication and prophylaxis.

resultsFour hundred patients were included in the study, of which 194 were NSUs and 206 were SUs. The NSUs were older with lower education and socioeconomic status. The headache characteristics were similar in both the groups, except for higher occurrence of aura (NSUs: 15 [7.7%] vs SUs: 36 [17.5%];

conclusionsThe use of smartphone was associated with increase in requirement of acute medication and less relief with acute medication. Longitudinal studies may be required to confirm these findings.

Identifiers

PMID33520409
PMCPMC7837434

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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.