Evidence map›Paper›PMID 38549459›Full record

Observational studyCancer medicine2024

Standardized uptake value

Baoli Jin, Xiaolian Wen, Hanji Tian, Hongxia Guo, Mingyan Hao, Jing Wu, Xiaomin Li, Yuejun Ren, Xin Wang, Xiaolu Ren

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Cancer medicine, 2024. 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
0.6field-weighted citation impact, top 31% of its field
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, 2 citations in OpenAlex.

  1. Article
  2. Standardized uptake valueCancer medicine · 2024
    Observational
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

10 authors at 2 institutions in 1 country.

Baoli JinDepartment of Radiation Oncology, Shanxi Province Cancer Hospital, Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences, Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China.
Xiaolian WenDepartment of Oncology, Shanxi Province Cancer Hospital, Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences, Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China.
Hanji TianDepartment of Surgery, Shanxi Province Cancer Hospital, Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences, Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China.
Hongxia GuoShanxi Bethune Hospital, Taiyuan, Shanxi, China.
Mingyan HaoDepartment of Administration, Shanxi Province Cancer Hospital, Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences, Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China.
Jing WuDepartment of Radiation Oncology, Shanxi Province Cancer Hospital, Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences, Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China.
Xiaomin LiDepartment of Radiation Oncology, Shanxi Province Cancer Hospital, Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences, Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China.
Yuejun RenDepartment of MR/CT, Shanxi Province Cancer Hospital, Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences, Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China.
Xin WangDepartment of Surgery, First Hospital of Shanxi Medical University, Taiyuan, China.
Xiaolu RenDepartment of Radiation Oncology, Shanxi Province Cancer Hospital, Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences, Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China.ORCID 0000-0002-0090-2587
Shanxi Medical University · CNShanxi Academy of Medical Sciences · CN

Funding

the Fund Program for the Scientific Activities of Selected Returned Overseas Professionals in Shanxi Province 2021005the Shanxi Province Basic Applied Research Project 202103021223447the Shanxi Province Basic Applied Research Project 20210302124611the Shanxi Province Basic Applied Research Project 202203021212066Youth Foundation of Health Commission of Shanxi Province 2020058
6 · The paper itself

Abstract

backgroundTo examine standardized uptake value

methodsThe current retrospective observational study examined individuals diagnosed with de novo lung adenocarcinoma at Shanxi Cancer Hospital between February 2015 and December 2019.

resultsTotally, 532 de novo lung adenocarcinoma cases were included. They were aged 60.8 ± 9.7 years and comprised 224 women and 268 patients with distant metastasis. The areas under the curves (AUCs) of pSUVmax, lactate dehydrogenase (LDH), carcinoembryonic antigen (CEA), cytokeratin-19 fragment (CYFRA21-1), carbohydrate antigen 125 (CA125), and Grade of TMs for predicting distant metastasis were 0.742, 0.601, 0.671, 0.700, 0.736, and 0.745, respectively. The combination of pSUVmax, LDH, CEA, CYFRA21-1, CA125, and grade of TMs in predicting distant metastasis had an AUC value of 0.816 (95%CI: 0.781-0.851), with sensitivity of 89.2%, specificity of 58.7%, positive predictive value of 73.7%, and negative predictive value of 79.7%, respectively.

conclusionspSUVmax combined with serum levels of LDH, CEA, CYFRA21-1, CA125, and the grade of TMs may have good performance in predicting distant metastasis of de novo lung adenocarcinoma.

Indexed as

Adenocarcinoma of LungLung NeoplasmsAgedAntigens, NeoplasmBiomarkers, TumorCA-125 AntigenCarcinoembryonic AntigenFemaleHumansKeratin-19L-Lactate DehydrogenaseMaleMiddle AgedRetrospective Studiesantigen CYFRA21.1Antigens, NeoplasmBiomarkers, TumorCA-125 AntigenCarcinoembryonic AntigenKeratin-19L-Lactate Dehydrogenasedistant metastasislung adenocarcinomapredictionretrospective observational studytumor marker

Identifiers

PMID38549459
PMCPMC10979183
OpenAlexW4393316846

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.