Evidence map›Paper›PMID 35903433›Full record

ArticleComputational and mathematical methods in medicine2022

A Cohort Study to Evaluate the Efficacy and Value of CT Perfusion Imaging in Patients with Metastatic Osteosarcoma after Chemotherapy.

Chun Qian Zhang, Shuai Yang, Li Jing Zhang, Jian Nan Ma, De Qiang Chen

RetractedAbstract readRetracted Publication
In one paragraph

Article in Computational and mathematical methods in medicine, 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 It has been retracted, and should not be counted.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 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. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Chun Qian ZhangCT Diagnosis Department, Cangzhou Central Hospital, Cangzhou City, Hebei Province 061001, China.ORCID https://orcid.org/0000-0002-4894-7610
Shuai YangDepartment of Critical Medicine, Cangzhou Central Hospital, Cangzhou City, Hebei Province 061001, China.
Li Jing ZhangCT Diagnosis Department, Cangzhou Central Hospital, Cangzhou City, Hebei Province 061001, China.
Jian Nan MaCT Diagnosis Department, Cangzhou Central Hospital, Cangzhou City, Hebei Province 061001, China.
De Qiang ChenCT Diagnosis Department, Cangzhou Central Hospital, Cangzhou City, Hebei Province 061001, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: A case-control study was conducted to explore the efficacy of cohort study and value of CT perfusion imaging in patients with metastatic osteosarcoma after chemotherapy. Methods: Eighty patients with metastatic osteosarcoma treated in our hospital from March 2020 to December 2021 were divided into two groups. According to their different treatment methods, the chemotherapy+antiangiogenesis group had 36 cases and the chemotherapy group had 44 cases. All patients were scanned by 64-slice spiral CT before and after treatment. The differences of tumor volume and perfusion parameters before and after treatment were compared, and the correlation between perfusion parameters and tumor microvessel density (MVD) was analyzed. The receiver working curve (ROC curve) was used to evaluate the efficacy of the two groups after chemotherapy. Results: Blood flow (BF), blood volume (BV), Pallak blood volume (PBV), and time to start (TTS) in the antitumor angiogenesis+chemotherapy group were significantly lower than those before treatment ( Conclusion: The reduction rate of BV and BF in CT perfusion imaging is of high value in evaluating the efficacy of radiotherapy and chemotherapy in patients with NSCLC and can provide more objective basis for observing the changes and judging the prognosis of osteosarcoma after treatment.

Indexed as

Lung NeoplasmsOsteosarcomaCase-Control StudiesCohort StudiesHumansPerfusion ImagingTomography, X-Ray Computed

Identifiers

PMID35903433
PMCPMC9325339

What Socratic holds

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Registered trials

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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 Socratic graph.