Evidence map›Paper›PMID 33325014›Full record

ArticleDiving and hyperbaric medicine2020

Xuebijing attenuates decompression-induced lung injuries.

Wen-Tao Meng, Long Qing, Quan Zhou, Wei-Gang Xu

Open access · greenAbstract read
In one paragraph

Article in Diving and hyperbaric medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact, top 72% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Decompression illness: a comprehensive overview.Diving and hyperbaric medicine · 2024
    Article
  3. 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 2 countries.

Wen-Tao MengDepartment of Diving and Hyperbaric Medicine, Naval Special Medicine Center, Naval Medical University, Shanghai, China.
Long QingNaval Diving Medical Discipline, Naval Special Medicine Center, Naval Medical University, Shanghai, China.
Quan ZhouDepartment of Diving and Hyperbaric Medicine, Naval Special Medicine Center, Naval Medical University, Shanghai, China.
Wei-Gang XuDepartment of Diving and Hyperbaric Medicine, Naval Special Medicine Center, Naval Medical University, Shanghai, China.
Military Hospital · PKNaval Medical Research Command · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe lung is among the primary organs involved in decompression sickness (DCS). Xuebijing (XBJ), a traditional Chinese medicine, has been widely used in the treatment of various acute lung diseases. This study aimed to explore potential benefit of XBJ on lung injuries induced by DCS in a rabbit model.

methodsTwenty-four male New Zealand white rabbits underwent a simulated air dive to 50 meters' sea water for 60 min with 2.5 min decompression, and received an intravenous injection of XBJ (5 ml·kg

resultsXBJ significantly ameliorated lung injuries (lung wet/dry ratio and total protein content in bronchoalveolar lavage fluid), and notably inhibited systemic (serum level of interleukin-1β) and local (tumour necrosis factor-α in bronchoalveolar lavage fluid) inflammation responses.

conclusionsThe results strongly suggest the benefits of XBJ on ameliorating DCS lung injuries, which is possibly via inhibiting systemic and local inflammation. XBJ may be a potential candidate for the treatment of decompression-induced lung injuries.

Indexed as

Decompression SicknessDrugs, Chinese HerbalLung InjuryAnimalsDecompressionLungMaleRabbitsDrugs, Chinese HerbalXuebijingDecompression illnessDecompression sicknessInflammationPulmonary oedema

Identifiers

PMID33325014
PMCPMC8026227
OpenAlexW3116391872

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.