Evidence map›Paper›PMID 36779052›Full record

ArticleFrontiers in neurology2023

The differences of orthostatic hypotension in patients with Parkinson's disease and multiple system atrophy.

Jingrong Zeng, Yingqi Xing, Shanshan Mei, Baolei Xu, Xiaofan Xue, Haixia Song, Erhe Xu

Abstract read
In one paragraph

Article in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Pooled it
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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

7 authors.

Jingrong ZengDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Yingqi XingDepartment of Vascular Ultrasonography, Xuanwu Hospital, Capital Medical University, Beijing, China.
Shanshan MeiDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Baolei XuDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Xiaofan XueDepartment of Neurology, Chaoyang Hospital, Capital Medical University, Beijing, China.
Haixia SongDepartment of Neurology, The People's Hospital of Shijiazhuang, Shijiazhuang, Hebei, China.
Erhe XuDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Multiple system atrophy (MSA) and Parkinson's disease (PD) have similar clinical presentations in their early stages. Orthostatic hypotension (OH) is a common autonomic dysfunction associated with MSA and PD. Heart rate (HR) and systolic blood pressure (SBP) changes are measured in response to the active standing test, which is widely used to screen for cardiovascular autonomic function. Objectives and methods: Overall, 255 patients (67 MSA, 188 PD) underwent continuous beat-to-beat non-invasive BP monitoring and active standing test. The total standing time was 10 min, and the BP differences between both groups were compared to determine whether the ΔHR/ΔSBP can differentiate both conditions. Results: Classical orthostatic hypotension (COH) (52%) and initial OH (19%) were most common in MSA and PD, respectively. MSA had a higher HR (75.0 ± 9.7 vs. 71.0 ± 10.7, Conclusion: The SBP, diastolic BP, and HR were higher in the supine position; however, ΔHR and ΔSBP were lower after standing in MSA patients than in PD patients. The ΔHR/ΔSBP-10 min discriminated between MSA-COH and PD-COH with quiet acceptable accuracy.

Indexed as

active standing testmultiple system atrophyorthostatic hypotensionParkinson's diseasethe ΔHR/ΔSBP

Identifiers

PMID36779052
PMCPMC9909276

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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.