Evidence map›Paper›PMID 33850930›Full record

ReviewWorld journal of clinical cases2021

Expert consensus of the Chinese Association for the Study of Pain on pain treatment with the transdermal patch.

Ke Ma, Wei Jiang, Yun-Xia Wang, Lin Wang, Yan Lv, Jin-Feng Liu, Rong-Guo Liu, Hui Liu, Li-Zu Xiao, Dong-Ping Du and 7 more

Open access · diamondAbstract readReview
In one paragraph

Review in World journal of clinical cases, 2021. 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
0.7field-weighted citation impact, top 36% 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, 8 citations in OpenAlex.

  1. Article
  2. Review
  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

17 authors at 1 institution in 1 country.

Ke MaDepartment of Algology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China. marke72@163.com.
Wei JiangDepartment of Anesthesiology, Third Medical Center of People's Liberation Army General Hospital, Beijing 100039, China.
Yun-Xia WangDepartment of Algology, The Third People's Hospital of Hubei Province, Hubei Zhongshan Hospital, Wuhan 430033, Hubei Province, China.
Lin WangDepartment of Algology, Affiliated Hospital of Guizhou Medical University, Guiyang 550004, Guizhou Province, China.
Yan LvDepartment of Algology, Xijing Hospital, Air Force Medical University, Xi'an 710032, Shaanxi Province, China.
Jin-Feng LiuDepartment of Algology, The Second Affiliated Hospital of Harbin Medical University, Harbin 150001, Heilongjiang Province, China.
Rong-Guo LiuDepartment of Algology, Fujian Provincial Hospital, Fuzhou 350001, Fujian Province, China.
Hui LiuDepartment of Algology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan Province, China.
Li-Zu XiaoDepartment of Algology, Shenzhen Sixth People's Hospital (Nanshan Hospital), Shenzhen 518000, Guangdong Province, China.
Dong-Ping DuDepartment of Algology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiaotong University, Shanghai 200233, China.
Li-Juan LuDepartment of Algology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, Jiangsu Province, China.
Xiao-Qiu YangDepartment of Algology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
Ling-Jie XiaDepartment of Algology, Henan Provincial People's Hospital, Zhengzhou 450000, Henan Province, China.
Dong HuangDepartment of Algology, The Third Xiangya Hospital of Central South University, Changsha 410013, Hunan Province, China.
Zhi-Jian FuDepartment of Algology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan 250021, Shandong Province, China.
Bao-Gan PengDepartment of Orthopedics, The Third Medical Center, General Hospital of the Chinese People's Liberation Army, Beijing 100039, China.
Yan-Qing LiuDepartment of Algology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, China.
Chinese People's Liberation Army · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic pain lasting more than 3 mo, or even several years can lead to disability. Treating chronic pain safely and effectively is a critical challenge faced by clinicians. Because administration of analgesics through oral, intravenous or intramuscular routes is not satisfactory, research toward percutaneous delivery has gained interest. The transdermal patch is one such percutaneous delivery system that can deliver drugs through the skin and capillaries at a certain rate to achieve a systemic or local therapeutic effect in the affected area. It has many advantages including ease of administration and hepatic first pass metabolism avoidance as well as controlling drug delivery, which reduces the dose frequency and side effects. If not required, then the patch can be removed from the skin immediately. The scopolamine patch was the first transdermal patch to be approved for the treatment of motion sickness by the Food and Drug Administration in 1979. From then on, the transdermal patch has been widely used to treat many diseases. To date, no guidelines or consensus are available on the use of analgesic drugs through transdermal delivery. The pain branch of the Chinese Medical Association, after meeting and discussing with experts and based on clinical evidence, developed a consensus for promoting and regulating standard use of transdermal patches containing analgesic drugs.

Indexed as

AnalgesicsNonsteroidal anti-inflammatory drugsPainTopicalTransdermal drug delivery systemsTransdermal patches

Identifiers

PMID33850930
PMCPMC8017498
OpenAlexW3151347065

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.