Evidence map›Paper›PMID 40291097›Full record

ArticleProceedings (Baylor University. Medical Center)2025

Gender disparities, prognostic indicators, and survival differences in pulmonary typical carcinoid: a SEER database analysis.

Asim Ahmed, Abdul Qahar Khan Yasinzai, Bisma Tareen, Agha Wali, Marjan Khan, Lukman Tijani, Asad Ullah

Abstract read
In one paragraph

Article in Proceedings (Baylor University. Medical Center), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Asim AhmedMedical College of Georgia, Augusta, Georgia, USA.ORCID https://orcid.org/0009-0002-0200-5705
Abdul Qahar Khan YasinzaiUniversity of Florida Health Cancer Center, Gainesville, Florida, USA.
Bisma TareenBolan Medical College, Quetta, Balochistan, Pakistan.
Agha WaliBolan Medical College, Quetta, Balochistan, Pakistan.
Marjan KhanMarshfield Health Center, Marshfield, Wisconsin, USA.
Lukman TijaniTexas Tech University Health Sciences Center, Lubbock, Texas, USA.
Asad UllahTexas Tech University Health Sciences Center, Lubbock, Texas, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Typical carcinoid is a subtype of neuroendocrine neoplasia of the lung making up <1% of all lung cancers and 2% of resected lung tumors. This study assessed the impact of demographic features, racial and gender disparities, and tumor characteristics on survival in patients with typical carcinoid tumors. Methods: Data were extracted from the SEER database from 2000 to 2018. Multivariate Cox regression analyses were used to analyze the survival based on demographic and clinical factors. Results: We identified 11,713 cases of typical carcinoid tumors of the lungs. The mean age was 61.8 years (standard deviation, 14.7), and the tumors affected predominantly women (70.1%) and White (89.4%) individuals. The overall 5-year survival rate was 84.3% (95% confidence interval [CI] 83.5-85.2). The 5-year survival rate for those treated with systemic therapy was 49.8% (95% CI 43.5-55.9). Those treated with surgery had a 5-year survival rate of 97.2% (95% CI 96.7-97.6), and those treated with radiation had a 5-year survival rate of 71.9% (95% CI 60.3-80.6). Combination therapy provided a survival rate of 86.9% (95% CI 64.6-95.6). Conclusion: Surgery was the most common treatment modality and offered the best prognosis. On multivariate analysis, age >60, male gender, distant spread, and liver metastases were associated with worse prognosis.

Indexed as

CarcinoiddisparitySEERsurvival analysis

Identifiers

PMID40291097
PMCPMC12026113

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.