Evidence map›Paper›PMID 34189714›Full record

ReviewAging clinical and experimental research2021

2021 revised algorithm for the management of knee osteoarthritis-the Chinese viewpoint.

Zhiyi Zhang, Cibo Huang, Yongping Cao, Rong Mu, Mun Chan Zhang, Dan Xing, Dongwei Fan, Yunpong Ding, Junhuan Guo, Yong Hou and 6 more

Abstract readReview
In one paragraph

Review in Aging clinical and experimental research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

16 authors.

Zhiyi ZhangDepartment of Rheumatology, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
Cibo HuangDepartment of Rheumatology, Beijing Hospital, Beijing, China.
Yongping CaoDepartment of Orthopedics, Peking University First Hospital, Beijing, People's Republic of China.
Rong MuDepartment of Orthopedics, Peking University First Hospital, Beijing, People's Republic of China.
Mun Chan ZhangDepartment of Rheumatology, Beijing Hospital, Beijing, China.
Dan XingArthritis Clinic and Research Center, Peking University People's Hospital, Peking University, Beijing, 100044, China.
Dongwei FanDepartment of Orthopedics, Peking University Third Hospital, Beijing, China.
Yunpong DingDepartment of Rheumatology, Beijing Hospital, Beijing, China.
Junhuan GuoDepartment of Orthopedics, The Affiliated Hospital of Academy of Military Medical Sciences, PLA 307Th Hospital, Beijing, 100071, China.
Yong HouDepartment of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases, Beijing, 100730, China.
Lin JianhaoDepartment of Orthopedics, Peking University First Hospital, Beijing, People's Republic of China.
Nicola VeroneseDepartment of Internal Medicine and Geriatrics, Geriatric Unit, University of Palermo, Palermo, Italy. nicola.veronese@unipa.it.ORCID http://orcid.org/0000-0002-9328-289X
Jean-Yves ReginsterWHO Collaborating Centre for Public Health Aspects of Musculoskeletal Health and Aging, Liège, Belgium.
Olivier BruyereWHO Collaborating Centre for Public Health Aspects of Musculoskeletal Health and Aging, Liège, Belgium.
Etienne CavalierDepartment of Clinical Chemistry, University of Liège, CHU de Liège, 4000, Liège, Belgium.
Huaihuan ZhangDepartment of Science and Technology, China Electric Power Research Institute, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThe European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO) algorithm for the management of knee osteoarthritis (OA) is available worldwide from 2014, but in 2019 an update was published. Based on this algorithm, a Working Group (WG), including ESCEO members and Chinese experts, wished to see how the new ESCEO algorithm was perceived by Chinese experts in knee OA and how it was integrated into their clinical practice.

methodsA WG was held between members of the international ESCEO task force and a group of Chinese experts.

resultsNon-pharmacological approach should be combined with pharmacological interventions. In step 1, symptomatic slow-acting drugs for osteoarthritis (SYSADOA) are the most important background drugs. Evidence, supported by high-quality research, is available only for crystalline glucosamine sulfate (pCGS) and chondroitin sulfate. Topical NSAIDs could be used as an additional option. In step 2, oral NSAIDs could be useful, but cardiovascular/renal/gastrointestinal profiles of the patients should be considered. Intra-articular hyaluronic acid and corticosteroids are alternative to oral NSAIDs, but the evidence is still limited. If steps 1 and 2 are not sufficient, weak opioids could be used. Overall, the conclusions of the ESCEO algorithm are accepted in China for products available in this country. The WG suggests the importance of economic studies, specifically made in China.

conclusionThis work provides evidence-based advice to establish a treatment algorithm in knee OA, for practical implementation in clinical practice in China.

Indexed as

Osteoarthritis, KneeAlgorithmsAnti-Inflammatory Agents, Non-SteroidalChinaChondroitin SulfatesGlucosamineHumansAnti-Inflammatory Agents, Non-SteroidalChondroitin SulfatesGlucosamineAlgorithmChinaKnee osteoartrhitisPatented crystalline glucosamine sulfateSymptomatic slow-acting drugs for osteoarthritis

Identifiers

PMID34189714
PMCPMC8302513

What Socratic 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 Socratic graph.