Evidence map›Paper›PMID 41238676›Full record

ArticleScientific reports2025

Organ-based tumor distribution for predicting prognosis in small-cell lung cancer using fluorodeoxyglucose positron emission tomography/computed tomography.

Jiwoo Park, Soo Ho Ahn, Jae-Hoon Lee, Young Han Lee, Arthur Cho

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Development of aAnnals of nuclear medicine · 2026
    Article
  2. Baseline ¹BMC cancer · 2026
    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

5 authors.

Jiwoo ParkDepartment of Radiology, Research Institute of Radiological Science, Center for Clinical Imaging Data Science (CCIDS), Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea.
Soo Ho AhnDepartment of Radiology, Research Institute of Radiological Science, Center for Clinical Imaging Data Science (CCIDS), Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea.
Jae-Hoon LeeDepartment of Nuclear Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.
Young Han LeeDepartment of Radiology, Research Institute of Radiological Science, Center for Clinical Imaging Data Science (CCIDS), Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea. sando@yuhs.ac.
Arthur ChoDepartment of Nuclear Medicine, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea. artycho@yuhs.ac.

Funding

PROVIDE RABBITS, RATS MICE, HAMSTERS GERBILS, GUINEA PIGS27307C0012 · NIEHS · PI BOLEN, WAYNE · 2007 to 2007
$1.0M
NIEHS NIH HHS 27307C0012
6 · The paper itself

Abstract

To validate and compare conventional metabolic tumor burden measurements with comprehensive metabolic tumor distribution patterns using [

Indexed as

Fluorodeoxyglucose F18Lung NeoplasmsPositron Emission Tomography Computed TomographySmall Cell Lung CarcinomaAgedFemaleHumansMaleMiddle AgedNeoplasm StagingPrognosisRadiopharmaceuticalsRetrospective StudiesTumor BurdenFluorodeoxyglucose F18Radiopharmaceuticals[18F] FDG PET/CTQuantitative imagingSmall-cell lung cancerTumor burdenTumor distribution

Identifiers

PMID41238676
PMCPMC12618596

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.