ArticleJournal of healthcare engineering2022
Clinical Application Value of High-Frequency Ultrasound Combined with Detection of Serum High Mobility Group Box 1, Soluble IL-2 Receptor, and Thyroglobulin Antibody in Diagnosing Thyroid Cancer.
Article in Journal of healthcare engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed, 4 citations in OpenAlex.
- Correlation between ultrasound characteristics of thyroid microcarcinoma and levels of thyroid-stimulating hormone and vascular endothelial growth factor.American journal of translational research · 2025Article
- Retracted: Clinical Application Value of High-Frequency Ultrasound Combined with Detection of Serum High Mobility Group Box 1, Soluble IL-2 Receptor, and Thyroglobulin Antibody in Diagnosing Thyroid Cancer.Journal of healthcare engineering · 2023Article
- The Predicting Role of Serum TSGF and sIL-2R for the Lymph Node Metastasis of Papillary Thyroid Carcinoma.Disease markers · 2022Article
Corrections and comments
- Retraction · 2023-09-20Concerns/Issues about Data · Concerns/Issues about Human Subject Welfare · Concerns/Issues about Referencing/Attributions · Concerns/Issues about Peer Review · Investigation by Journal/Publisher · Investigation by Third Party · Lack of IRB/IACUC Approval and/or Compliance · Unreliable Results and/or Conclusions ·
- Retracted
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: The aim of this study is to explore the clinical application value of high-frequency ultrasound combined with detection of serum high mobility group box (HMGB-1), soluble IL-2 receptor (SIL-2R), and thyroglobulin antibody (TgAb) in diagnosing thyroid cancer. Methods: By means of retrospective study, 50 thyroid cancer patients treated in our hospital from January 2019 to January 2021 were selected as the thyroid cancer group, 50 patients with benign thyroid lesions were included in the benign lesion group, and 50 healthy individuals examined in our hospital in the same period were included in the control group. All study objects received high-frequency ultrasound examination, and at the same time, their serum HMGB-1, SIL-2R, and TgAb levels were measured. After that, the results of high-frequency ultrasound examination were analyzed, the diagnostic efficacy of different diagnosis methods was explored, and receiver operating characteristic (ROC) curves were plotted. Results: According to the results of high-frequency ultrasound examination, there were significant differences in echogenicity surrounding and inside the lesion, calcification, blood flow distribution, and blood flow parameters between the thyroid cancer group and the benign lesion group ( Conclusion: High-frequency ultrasound combined with detection of serum HMGB-1, SIL-2R, and TgAb has a good value in diagnosing thyroid cancer, which should be promoted in practice.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.