Evidence map›Paper›PMID 40104237›Full record

ArticleActa clinica Croatica2024

ORAL HEALTH STATUS IN PATIENTS WITH CHRONIC OBSTRUCTIVE PULMONARY DISEASE.

Filip Doder, Lara Vranić, Luka Šimunović

Abstract read
In one paragraph

Article in Acta clinica Croatica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Filip DoderSpecial Hospital for Respiratory Diseases, Zagreb, Croatia.
Lara VranićDepartment of Orthodontics, School of Dental Medicine, University of Zagreb, Zagreb, Croatia.
Luka ŠimunovićDepartment of Orthodontics, School of Dental Medicine, University of Zagreb, Zagreb, Croatia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim is to point to oral health status in patients suffering from chronic obstructive pulmonary disease (COPD). The study included 106 patients diagnosed with COPD who were treated at the Special Hospital for Pulmonary Diseases, Zagreb, Croatia. The World Health Organization questionnaire for oral health in adults was used as a validated measure to assess oral health. Results were compared based on the severity of the disease according to the GOLD classification, long term oxygen therapy, and their smoking habits. Most patients (61.3%) had less than 10 teeth. Also, 82.2% of the patients had problems with their oral health in the previous year. More than half of the patients (55.7%) ranked the status of their oral cavity and teeth as average or worse, whereas 58.5% of the patients ranked their gingival status as good or better. Also, 55.7% of the patients brushed their teeth once a day or less, which was more pronounced in men. The same percentage of the patients did not know whether their toothpaste contained fluoride. Sixty-seven percent of the patients were former smokers, while the rest were active smokers. Smokers reported more frequent feeling of shame and tension because of the appearance of their teeth in relation to non-smokers. Patients with advanced stages of COPD are more likely to report problems with eating and chewing food compared to patients with less advanced stages of the disease. According to the results, further systematic education of COPD patients is crucial in promoting the importance of oral health.

Indexed as

Oral HealthPulmonary Disease, Chronic ObstructiveAgedCroatiaFemaleHumansMaleMiddle AgedSmokingSurveys and QuestionnairesCariesChronic obstructive pulmonary diseaseOral healthPrevention

Identifiers

PMID40104237
PMCPMC11912846

What OpenQuestion holds

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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.