Evidence map›Paper›PMID 28127644›Full record

Trial reportLasers in medical science2017

Efficacy and safety of far infrared radiation in lymphedema treatment: clinical evaluation and laboratory analysis.

Ke Li, Zheng Zhang, Ning Fei Liu, Shao Qing Feng, Yun Tong, Ju Fang Zhang, Joannis Constantinides, Davide Lazzeri, Luca Grassetti, Fabio Nicoli and 1 more

Abstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in Lasers in medical science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 22% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Biology of Lymphedema.Biology · 2021
    Review
  15. Article
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  17. Review
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

11 authors at 6 institutions in 3 countries.

Ke LiDepartment of Plastic and Reconstructive Surgery, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China.
Zheng ZhangDepartment of Plastic and Reconstructive Surgery, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China.
Ning Fei LiuDepartment of Plastic and Reconstructive Surgery, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China.
Shao Qing FengDepartment of Plastic and Reconstructive Surgery, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China.
Yun TongDepartment of Medical Cosmetology Surgery, Jinhua People's Hospital, Jinhua, China.
Ju Fang ZhangDepartment of Medical Cosmetology Surgery, Hangzhou First People's Hospital, Hangzhou, China. zhjuf@vip.ina.com.cn.
Joannis ConstantinidesDepartment of Plastic and Reconstructive Surgery, Guy's and Saint Thomas' NHS Foundation Trust, London, UK.
Davide LazzeriPlastic Reconstructive and Aesthetic Surgery, Villa Salaria Clinic, Rome, Italy.
Luca GrassettiDepartment of Plastic and Reconstructive Surgery, Marche Polytechnic University, Ancona, Italy.
Fabio NicoliDepartment of Plastic and Reconstructive Surgery, Guy's and Saint Thomas' NHS Foundation Trust, London, UK.
Yi Xin ZhangDepartment of Plastic and Reconstructive Surgery, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China. zhangyixin6688@hotmail.com.
Shanghai Ninth People's Hospital · CNMarche Polytechnic University · ITGuy's and St Thomas' NHS Foundation Trust · GBHangzhou First People's Hospital · CNJinhua Academy of Agricultural Sciences · CNVilla Melitta · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Swelling is the most common symptom of extremities lymphedema. Clinical evaluation and laboratory analysis were conducted after far infrared radiation (FIR) treatment on the main four components of lymphedema: fluid, fat, protein, and hyaluronan. Far infrared radiation is a kind of hyperthermia therapy with several and additional benefits as well as promoting microcirculation flow and improving collateral lymph circumfluence. Although FIR therapy has been applied for several years on thousands of lymphedema patients, there are still few studies that have reported the biological effects of FIR on lymphatic tissue. In this research, we investigate the effects of far infrared rays on the major components of lymphatic tissue. Then, we explore the effectiveness and safety of FIR as a promising treatment modality of lymphedema. A total of 32 patients affected by lymphedema in stage II and III were treated between January 2015 and January 2016 at our department. After therapy, a significant decrease of limb circumference measurements was noted and improving of quality of life was registered. Laboratory examination showed the treatment can also decrease the deposition of fluid, fat, hyaluronan, and protein, improving the swelling condition. We believe FIR treatment could be considered as both an alternative monotherapy and a useful adjunctive to the conservative or surgical lymphedema procedures. Furthermore, the real and significant biological effects of FIR represent possible future applications in wide range of the medical field.

Indexed as

HumansInfrared RaysLow-Level Light TherapyLymphedemaLymphoid TissueMicrocirculationQuality of LifeFar infrared radiationFatHyaluronanInfrared rayLymphatic tissueLymphedema

Identifiers

PMID28127644
OpenAlexW2580535365

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.