Evidence map›Paper›PMID 34840874›Full record

ArticleNeurology. Clinical practice2021

Impact of

Ali G Hamedani, Leah Blank, Dylan P Thibault, Allison W Willis

Abstract read
In one paragraph

Article in Neurology. Clinical practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–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

24 citing papers in PubMed.

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  15. Acute ischemic strokes in patients with developmental disabilities: A cross-sectional analysis.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2023
    Article
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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

4 authors.

Ali G HamedaniDepartment of Neurology and Translational Center of Excellence for Neuroepidemiology and Neurology Outcomes Research (AGH, DPT), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Departments of Neurology and Population Health Science and Policy (LB), Icahn School of Medicine at Mount Sinai, New York; and Departments of Neurology and of Biostatics and Epidemiology and Translational Center of Excellence for Neuroepidemiology and Neurology Outcomes Research (AWW), Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Leah BlankDepartment of Neurology and Translational Center of Excellence for Neuroepidemiology and Neurology Outcomes Research (AGH, DPT), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Departments of Neurology and Population Health Science and Policy (LB), Icahn School of Medicine at Mount Sinai, New York; and Departments of Neurology and of Biostatics and Epidemiology and Translational Center of Excellence for Neuroepidemiology and Neurology Outcomes Research (AWW), Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Dylan P ThibaultDepartment of Neurology and Translational Center of Excellence for Neuroepidemiology and Neurology Outcomes Research (AGH, DPT), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Departments of Neurology and Population Health Science and Policy (LB), Icahn School of Medicine at Mount Sinai, New York; and Departments of Neurology and of Biostatics and Epidemiology and Translational Center of Excellence for Neuroepidemiology and Neurology Outcomes Research (AWW), Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Allison W WillisDepartment of Neurology and Translational Center of Excellence for Neuroepidemiology and Neurology Outcomes Research (AGH, DPT), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Departments of Neurology and Population Health Science and Policy (LB), Icahn School of Medicine at Mount Sinai, New York; and Departments of Neurology and of Biostatics and Epidemiology and Translational Center of Excellence for Neuroepidemiology and Neurology Outcomes Research (AWW), Perelman School of Medicine, University of Pennsylvania, Philadelphia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine the effect of

methodsWe used 2014-2017 data from the National Inpatient Sample to identify hospitalizations with one of 16 common neurologic diagnoses. We used published

resultsThe average monthly prevalence of subarachnoid hemorrhage was stable before the coding transition (average monthly increase of 4.32 admissions, 99.7% confidence interval [CI]: -8.38 to 17.01) but increased after the coding transition (average monthly increase of 24.32 admissions, 99.7% CI: 15.71-32.93). Otherwise, there were no significant differences in the longitudinal rate of change in disease prevalence over time between

conclusionsThe transition from

Identifiers

PMID34840874
PMCPMC8610531

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.