Evidence map›Paper›PMID 35449844›Full record

ArticleJournal of healthcare engineering2022

Application Value of Real-Time Ultrasonic Elastograph with Serum Human Epididymis Protein 4, Interleukin-33, and Carbohydrate Antigen 153 in Diagnosis of Early Cervical Cancer.

Maoping Guo, Lingling Liang, Litao Wu, Daolin Xie, Jian Li

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

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 It has been retracted, and should not be counted.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.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 48% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Maoping GuoDepartment of Ultrasound, Affiliated Heji Hospital of Shanxi Changzhi Medical College, Changzhi City 046000, Shanxi Province, China.
Lingling LiangDepartment of Gynecology, Affiliated Heji Hospital of Shanxi Changzhi Medical College, Changzhi City 046000, Shanxi Province, China.
Litao WuDepartment of Ultrasound, Affiliated Heji Hospital of Shanxi Changzhi Medical College, Changzhi City 046000, Shanxi Province, China.
Daolin XieDepartment of Ultrasound, Affiliated Heji Hospital of Shanxi Changzhi Medical College, Changzhi City 046000, Shanxi Province, China.
Jian LiDepartment of Ultrasound, Affiliated Heji Hospital of Shanxi Changzhi Medical College, Changzhi City 046000, Shanxi Province, China.ORCID 0000-0002-7789-2786
Changzhi Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the application value of real-time ultrasonic elastograph (USE) with serum human epididymis protein 4 HE4, interleukin-33 (IL-33), and carbohydrate antigen 153 (CA153) in the diagnosis of early cervical cancer. Methods: A total of 120 cervical cancer patients treated in our hospital (06, 2019-06, 2021) and meeting the study criteria were screened and divided into the benign group (BG, Results: The patients' real-time USE score, Conclusion: Combined examination of real-time USE and serum HE4, IL-33, and CA153 has higher diagnostic value in diagnosing early cervical cancer, which can obviously improve the diagnostic accuracy rate of cervical cancer.

Indexed as

Interleukin-33Uterine Cervical NeoplasmsAntigens, NeoplasmBiomarkers, TumorCA-125 AntigenCarbohydratesFemaleHumansROC CurveUltrasonicsWAP Four-Disulfide Core Domain Protein 2Antigens, NeoplasmBiomarkers, TumorCA-125 AntigenCA153 protein, humanCarbohydratesIL33 protein, humanInterleukin-33WAP Four-Disulfide Core Domain Protein 2WFDC2 protein, human

Identifiers

PMID35449844
PMCPMC9018169
OpenAlexW4223617712

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.