Evidence map›Paper›PMID 28417690›Full record

SynthesisThe Journal of international medical research2017

Global scientific production in the field of knee arthroplasty: A cross-sectional survey of research activities.

Lu Wang, Lingxia Li, Cai Cheng, Hua Tian, Yang Li, Minwei Zhao

Abstract readMeta-Analysis
In one paragraph

Synthesis in The Journal of international medical research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Lu Wang1 Department of Orthopedics, Cangzhou Central Hospital, Cangzhou, China.
Lingxia Li2 Department of Clinical Pharmacology, Cangzhou People's Hospital, Cangzhou, China.
Cai Cheng1 Department of Orthopedics, Cangzhou Central Hospital, Cangzhou, China.
Hua Tian3 Department of Orthopedics, Peking University Third Hospital, Beijing, China.
Yang Li3 Department of Orthopedics, Peking University Third Hospital, Beijing, China.
Minwei Zhao3 Department of Orthopedics, Peking University Third Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective To determine the quantity and quality of articles in the field of knee arthroplasty worldwide and elucidate the characteristics of global scientific production. Methods Web of Science was used to identify articles in the field of knee arthroplasty from 2011 to 2015. The total number of papers, number of papers per capita, total number of citations, and mean number of citations were collected. Results In total, 11,590 papers were identified. The number of publications significantly increased from 2011 to 2015. Most originated from North America, East Asia, and West Europe. Most (88.51%) were from high-income countries, 11.48% were from middle-income countries, and only 0.01% were from lower-income countries. The United States had the most articles and total citations. Sweden had the highest mean citations, followed by Denmark and Canada. However, when adjusted by population size, Denmark had the most articles per million population, followed by Switzerland and the Netherlands. Conclusions The number of knee arthroplasty publications has rapidly increased in recent years. The United States is the most prolific, but some European countries are more productive relative to their population.

Indexed as

Arthroplasty, Replacement, KneeBiomedical ResearchBibliometricsHumansInternational CooperationKnee arthroplastypublication

Identifiers

PMID28417690
PMCPMC5536421

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.