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Record W4401324175 · doi:10.7759/cureus.66208

Evaluating the Correlation Between Prosthodontic Interventions and Chest Infections: A Comprehensive Research Analysis

2024· article· en· W4401324175 on OpenAlexaff
Muhammad Muqeet, Muhammad Uzair Riaz, Summaiya Qaisar, Naveed Ahmad, Amna Nisar, Syeda Sameen Zehra Rizvi

Bibliographic record

VenueCureus · 2024
Typearticle
Languageen
FieldDentistry
TopicOral microbiology and periodontitis research
Canadian institutionsCollège Montmorency
Fundersnot available
KeywordsMedicinePsychological interventionMedical physicsFamily medicineNursing

Abstract

fetched live from OpenAlex

BACKGROUND: There is growing interest in the relationship between prosthodontic therapies and outcomes related to systemic health, particularly respiratory infections. Respiratory infections are a leading cause of global morbidity and mortality, particularly among vulnerable populations such as immunocompromised individuals. The World Health Organization reports that lower respiratory infections are among the top causes of death worldwide, underscoring the importance of understanding their potential link to prosthodontic procedures. Dental operations, such as prosthodontic therapies, may alter the mouth flora and thus affect respiratory health. OBJECTIVE: This research aimed to investigate the relationship between prosthodontic procedures and chest infections. METHODOLOGY: This research was an observational prospective cohort study conducted from January 2023 to December 2023 at the Pakistan Institute of Medical Sciences (PIMS) located in Islamabad, Pakistan. One hundred thirty individuals in the cohort, who were at least 18 years old, had a range of prosthodontic procedures, such as total edentulous solutions and tooth restoration. Electronic health data were used for participant selection to minimize selection bias and guarantee diverse representation. Comprehensive evaluations of cardiovascular health, immunological state, pulmonary function, and medical histories were all part of the data-gathering process. Structured questionnaires and interviews were also used to get patient feedback. Using SPSS Statistics software (version 27; IBM Corp., Armonk, NY), statistical analysis was performed to examine the relationships between prosthodontic treatments and chest infections using descriptive statistics and logistic regression. RESULTS: PIMS hosted 130 participants in this research, which found that 29 patients, or 22% of the total, had chest infections after surgery. Chest infection rates were 15.15% (five out of 33) in the 18-39 age group, 21.21% (14 out of 66) in the 40-59 age group, and 32.26% (10 out of 31) in the 60+ age group, according to age-specific analysis. Complete edentulous solutions (38 cases, 29.23%) and tooth restoration (55 cases, 42.31%) were the most frequently performed procedures. Compared to tooth restoration (n=15; 55.17%), complete edentulous solutions (n=8; 27.59%) had increased infection risks, according to logistic regression. Following prosthodontic procedures, respiratory health measures improved: respiratory rate dropped to 17.8/min, oxygen saturation rose to 98.1%, and frequency of coughing fell to 1.9/day. CONCLUSION: This research highlights the need for careful post-operative respiratory surveillance by elucidating the strong associations between prosthodontic procedures and chest infections.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0060.005
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.362
GPT teacher head0.542
Teacher spread0.180 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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