Evidence map›Paper›PMID 33648443›Full record

ArticleBMC geriatrics2021

Inverted circadian variation of arterial pressure in a geriatric patient: an indicator of autonomic dysfunction.

Siddhartha Lieten, Aziz Debain, Bert Bravenboer, Tony Mets

Open access · goldAbstract readCase Reports
In one paragraph

Article in BMC geriatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact, top 97% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 1 citations in OpenAlex.

  1. Pooled it
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 at 2 institutions in 1 country.

Siddhartha LietenDepartment of Geriatrics, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, B-1090, Brussels, Belgium. Siddhartha.Lieten@uzbrussel.be.
Aziz DebainDepartment of Geriatrics, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, B-1090, Brussels, Belgium.
Bert BravenboerDepartment of Geriatrics, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, B-1090, Brussels, Belgium.
Tony MetsDepartment of Geriatrics, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, B-1090, Brussels, Belgium.
Vrije Universiteit Brussel · BEUniversitair Ziekenhuis Brussel · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOrthostatic hypotension (OH) in geriatric patients frequently involves a component of autonomic failure (AF). The combination of OH with nocturnal hypertension (NHT) is indicative of AF, which is described as pure (PAF), when neurologic symptoms are absent, or as multisystem atrophy (MSA), when combined with motor disturbance (Parkinsonism or Parkinson disease). CASE PRESENTATION: An 87-year-old man presented with long-lasting OH. He frequently fell, causing several fractures, and he developed heart failure. Blood pressure (BP) registration revealed a reversal of the day-night rhythm with NHT. An 18-FDG PET brain CT scan showed cerebellar hypometabolism, indicating MSA.

conclusionsThis case demonstrates the use of continuous BP registration in geriatric patients with OH for diagnosing NHT. It illustrates the usefulness of 18-FDG PET brain CT scan to specify the nature of the AF. The case also illustrates the difficulty of managing the combination of OH and NHT.

Indexed as

Autonomic Nervous System DiseasesHypotension, OrthostaticMultiple System AtrophyAgedAged, 80 and overArterial PressureBlood PressureHumansMale18-FDG PET brain CT scanAutonomic failureNocturnal hypertensionOrthostatic hypotension

Identifiers

PMID33648443
PMCPMC7919995
OpenAlexW3134581942

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.