Evidence map›Paper›PMID 33854908›Full record

ReviewBioMedicine2020

Methods of effective low-level laser therapy in the treatment of patients with bronchial asthma (literature review).

Sergey Vladimirovich Moskvin, Aleksandr Agubechirovich Khadartsev

Open access · diamondAbstract readReview
In one paragraph

Review in BioMedicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 14% 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, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Therapeutic Potential of Photobiomodulation for Chronic Kidney Disease.International journal of molecular sciences · 2022
    Review
  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

2 authors at 2 institutions in 1 country.

Sergey Vladimirovich MoskvinO.K. Skobelkin State Scientific Center of Laser Medicine under the Federal Medical Biological Agency, Moscow, 121165, Russia.
Aleksandr Agubechirovich KhadartsevMedical Institute, Tula State University, Tula, 300028, Russia.
Federal Medical-Biological Agency · RUTula State University · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bronchial asthma is an autoimmune disease, one of the most common and practically non-treatable by standard methods. At present, the used drugs only maintain a state of temporary remission, simultaneously having a negative effect on various organs and structures and causing side effects. At the same time, the experts have ignored more than 50 years of successful experience of low-level laser therapy, the results of hundreds of studies proving the effectiveness of the method in treating patients with all forms of bronchial asthma. It is proved that therapeutic and periodic (2-4 per year) courses of low-level laser therapy can significantly decrease the frequency and severity of attacks, reduce or cancel the reception of medicines, as well as negative consequences. In this brief review, only some part of studies is given as an example; pediatrics issues are almost not discussed. However, the review clearly demonstrates that various methods of laser illumination (specific techniques are given) make it possible to influence almost all the known pathogenesis of the disease, and low-level laser therapy is a truly effective method of treatment. We note that there are very few publications published on the topic outside of Russia. Russian scientists, as always, are ahead of world science and low-level laser therapy practice.

Indexed as

bronchial asthmalow-level laser therapy

Identifiers

PMID33854908
PMCPMC7608842
OpenAlexW3013285260

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.