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Record W2891924983 · doi:10.14740/wjon1129w

Adenocarcinoma of Lung and Bronchial Carcinoid Presenting as Double Synchronous Primary Lung Cancer: A Case Report and Review of Literature

2018· article· en· W2891924983 on OpenAlexvenueno aff
Lakshmi Saladi, Sai Mounica Maddu, Masooma Niazi, Ajsza Matela

Bibliographic record

VenueWorld Journal of Oncology · 2018
Typearticle
Languageen
FieldMedicine
TopicNeuroendocrine Tumor Research Advances
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineLungAdenocarcinomaLung cancerPrimary (astronomy)RadiologyGeneral surgeryOncologyCancerInternal medicine

Abstract

fetched live from OpenAlex

Recent advances in imaging techniques led to an increase in the incidence of synchronous and metachronous primary lung cancers due to early detection. Management of these patients is challenging and prognosis depends on the stage of the tumor at initial diagnosis and histological type. A 68-year-old African American male patient with medical history of hypertension and diabetes mellitus presented to our emergency department with right sided chest pain, worsening dyspnea and dry cough of 2-week duration. He also reported significant weight loss and was a smoker with 25 pack-years smoking history. Chest radiology showed a large right pleural effusion. Subsequent thoracentesis and fluid analysis revealed a lymphocytic exudate. Patient underwent bronchoscopy with findings of an endobronchial lesion in the left lower bronchus. Microscopic analysis of the biopsy specimen showed a well differentiated carcinoid. It was decided to proceed with VATS and pleural biopsy as part of workup for unexplained exudative pleural effusion. Multiple pleural nodules were detected during the procedure and biopsy of these nodules revealed adenocarcinoma of lung. He was evaluated by Oncology and underwent palliative chemotherapy. The association of carcinoid with adenocarcinoma of lung was infrequently reported in the past. This case also highlights the importance of additional diagnostic workup for primary when the diagnosed malignancy does not explain the clinical presentation.

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 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)0.001
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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.279
Threshold uncertainty score0.514

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.016
GPT teacher head0.371
Teacher spread0.355 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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

Citations10
Published2018
Admission routes1
Has abstractyes

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