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Record W4391832054 · doi:10.3892/ol.2024.14287

Impact on hospitalization and infection patterns of advanced lung cancer with lower respiratory tract infections: Targeted therapy vs. chemoradiotherapy

2024· article· en· W4391832054 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueOncology Letters · 2024
Typearticle
Languageen
FieldMedicine
TopicLung Cancer Diagnosis and Treatment
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsLung cancerMedicineChemoradiotherapyMolecular medicineOncologyRespiratory tract infectionsInternal medicineRespiratory tractCancerPneumoniaIntensive care medicineOncogeneRespiratory systemCell cycle

Abstract

fetched live from OpenAlex

Lung cancer is a prevalent and highly lethal disease often complicated by lower respiratory tract infections. Microbial patterns in these infections vary based on treatment modalities. The present study explored the impact of lung cancer treatments on pathogens and clinical characteristics in the presence of lower respiratory tract infections to inform antimicrobial drug selection. A retrospective analysis was performed that included data from 93 patients diagnosed with advanced lung cancer and lower respiratory tract infections between January 2019 and December 2021. Patients were divided into the targeted therapy and chemoradiotherapy groups. Clinical, nutritional, biochemical, infection and pathogenetic indicators were compared. Of the 93 cases, 24 were in the targeted therapy group and 69 were in the chemoradiotherapy group. Pathological type and hospitalization duration differed significantly (P&lt;0.05), but age, sex, smoking history, alcohol consumption and underlying diseases did not (P&gt;0.05). Lymphocyte counts differed (P&lt;0.05), while body mass index, albumin, hemoglobin, alanine aminotransferase and creatinine levels, erythrocyte sedimentation rate, hypersensitive C‑reactive protein and procalcitonin levels, and the percentage of neutrophils did not (P&gt;0.05). Pathogenetic testing was negative in 15 patients and positive in 78 patients, with Gram‑negative bacteria (61.77%), fungi (17.65%) and viruses (11.76%) predominant in the targeted therapy group. In the chemoradiotherapy group, Gram‑negative bacteria (47.46%), fungi (28.81%) and viruses (16.95%) were also more prevalent. <em>Candida albicans</em> was the most frequent fungal infection in both groups, and mixed infections were common (50% in targeted therapy and 73.92% in chemoradiotherapy). The chemoradiotherapy group had significantly more mixed infections (P&lt;0.05). Overall, common pathogens in both groups included Gram‑negative bacteria, fungi and viruses. Chemoradiotherapy patients experienced longer hospital stays and a higher incidence of mixed infections, predominantly involving Gram‑negative bacteria and fungi. The results provide valuable insights into the rational selection of empirical antibiotics and antifungals for critically ill patients with lung cancer and lower respiratory tract infections in targeted therapy or chemoradiotherapy.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.018
Threshold uncertainty score0.452

Codex and Gemma teacher scores by category

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

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 head0.008
GPT teacher head0.332
Teacher spread0.324 · 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