Evidence map›Paper›PMID 33551341›Full record

Observational studyNeurophysiologie clinique = Clinical neurophysiology2021

Sudomotor dysfunction in patients recovered from COVID-19.

Anand Hinduja, Abdul Moutairou, Jean-Henri Calvet

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Neurophysiologie clinique = Clinical neurophysiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
4.6field-weighted citation impact, top 4% 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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 45 citations in OpenAlex.

  1. Pooled it
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  12. Autonomic and neuropathic complaints of long-COVID objectified: an investigation from electrophysiological perspective.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2022
    Article
  13. Review
  14. Article
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  17. Small fiber neuropathy as a complication of SARS-CoV-2 vaccinations.Journal of family medicine and primary care · 2022
    Article
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  20. 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

3 authors at 1 institution in 1 country.

Anand HindujaAarti Clinic, Kharghar, Navi Mumbai, India. Electronic address: dranand01@gmail.com.
Abdul MoutairouImpeto Medical, Paris, France.
Jean-Henri CalvetImpeto Medical, Paris, France.
Advanced Centre for Treatment, Research and Education in Cancer · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dysautonomia has been reported in COVID-19. Sweat function testing has been proposed to assess autonomic neuropathy. Fifty Indian patients consulting for neurological symptoms participated in this observational study. The NHS questionnaire for neurological symptoms was completed and electrochemical skin conductance was measured using Sudoscan. The 26% of patients with sweat dysfunction i) were older (p = 0.001), ii) were more frequently treated at home (p = 0.008), iii) were more likely to have received antiviral treatment (p = 0.0006), and iv) more frequently reported at least one motor, sensory or autonomic symptom (p = 0.04). This preliminary study suggests that patients with COVID-19 should be screened for dysautonomia.

Indexed as

SweatingAdultAgedAgingAntiviral AgentsAutonomic Nervous System DiseasesCOVID-19FemaleGalvanic Skin ResponseHumansIndiaMaleMiddle AgedSurveys and QuestionnairesYoung AdultAntiviral AgentsCOVID-19DysautonomiaElectrochemical skin conductanceSmall fiber neuropathy

Identifiers

PMID33551341
PMCPMC7835104
OpenAlexW3124674281

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.