Evidence map›Paper›PMID 31867082›Full record

ArticleGenes and environment : the official journal of the Japanese Environmental Mutagen Society2019

Association between

Ricardo Muller Bottura, Giscard Humberto Oliveira Lima, Debora Cristina Hipolide, João Bosco Pesquero

Open access · goldAbstract read
In one paragraph

Article in Genes and environment : the official journal of the Japanese Environmental Mutagen Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 18% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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

4 authors at 2 institutions in 1 country.

Ricardo Muller Bottura1Department of Psychobiology, UNIFESP, Botucatu Street, 862, First Floor, Vila Clementino, SP, ZIP, São Paulo, 04023062 Brazil.ORCID 0000-0003-1941-2040
Giscard Humberto Oliveira Lima2Department of Biophysics, UNIFESP, São Paulo, Brazil.
Debora Cristina Hipolide1Department of Psychobiology, UNIFESP, Botucatu Street, 862, First Floor, Vila Clementino, SP, ZIP, São Paulo, 04023062 Brazil.
João Bosco Pesquero2Department of Biophysics, UNIFESP, São Paulo, Brazil.
Fundação de Apoio à Universidade Federal de São Paulo · BRUniversidade Estadual Paulista (Unesp) · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDuring the process of acclimatization, when our organism needs to adjust several metabolic processes in the attempt of establishing a better oxygenation, it is normal that individuals present some symptoms that can lead to the disease of the mountain. However, not everyone presents such symptoms and individuals native of high altitudes regions present genetic differences compared to natives of low altitudes which can generate a better acute adaptation. One of these differences is the higher proportion of type I muscle fibers, which may originate from the R577X polymorphism of the

resultsOur results point to an association between AMS symptoms and the presence of R allele from R577X polymorphism.

conclusionWe conclude that individuals with at least one R allele of the R577X polymorphism seems to be more susceptible to the effects of hypoxia during the acclimatization process and may develop AMS symptoms.

Indexed as

AcclimatizationACTN3Acute Mountain sicknessAltitudeHypoxemiaHypoxiaMuscle Fiber types

Identifiers

PMID31867082
PMCPMC6902444
OpenAlexW2994735966

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.