Evidence map›Paper›PMID 36299341›Full record

ArticleJournal of dental sciences2022

Profile of dental use for diseases of pulp and periapical tissues under the National Health Insurance system in Taiwan in 2020.

Feng-Chou Cheng, Chun-Pin Chiang

Open access · goldAbstract read
In one paragraph

Article in Journal of dental sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

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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

2 authors at 2 institutions in 1 country.

Feng-Chou ChengChia-Te Dental Clinic, New Taipei City, Taiwan.
Chun-Pin ChiangDepartment of Dentistry, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan.
National Taiwan Normal University · TWNational Taiwan University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/purpose: The penetration rate of National Health Insurance (NHI) of Taiwan is as high as 99.9%. This study investigated the profile of dental use for diseases of pulp and periapical tissues under the NHI system of Taiwan in 2020. Materials and methods: Data on the population and medical records of the NHI system were obtained from the websites of Ministry of the Interior and the NHI Administration, respectively. The dental patient data were divided into 18 age groups to analyze dental treatment records claimed in 2020. Results: Under the NHI system in Taiwan in 2020, the dental use rate for treatment of diseases of pulp and periapical tissues had the highest peak (12.76%) in the 5-9-year age group. It dropped abruptly to the lowest point (2.71%) in the 10-14-year age group, raised gradually with increasing age, reached to the second and third highest peaks in the 70-74-year (10.75%) and 65-69-year (10.72%) age groups, respectively, and finally declined to 4.40% in the greater than 85-year age group. Furthermore, the number of out-patient visits per 1000 people and the medical expenses per person for diseases of pulp and periapical tissues among the same 18 age groups also showed a similar trend to the dental use rate. Conclusion: Diseases of pulp and periapical tissues are still the main diseases of the oral cavity. From a cost-effectiveness viewpoint, Taiwan government should develop a better oral health care policy to prevent dental caries from deteriorating into diseases of pulp and periapical tissues for all citizens.

Indexed as

Dental use rateDiseases of pulp and periapical tissuesEndodontic diseasesNational Health Insurance

Identifiers

PMID36299341
PMCPMC9588822
OpenAlexW4296420160

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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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.