ArticleEvidence-based complementary and alternative medicine : eCAM2022
Camrelizumab and Apatinib Combined with Radiotherapy Is Effective in Advanced Oligometastatic Non-Small-Cell Lung Cancer.
Article in Evidence-based complementary and alternative medicine : eCAM, 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 It has been retracted, and should not be counted.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 4 papers, 1 of them a synthesis that pooled 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.
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
4 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.
- Pooled it
- Oligo-Metastatic Cancers: Putative Biomarkers, Emerging Challenges and New Perspectives.Cancers · 2023Review
- Retracted: Camrelizumab and Apatinib Combined with Radiotherapy Is Effective in Advanced Oligometastatic Non-Small-Cell Lung Cancer.Evidence-based complementary and alternative medicine : eCAM · 2023Article
- Research advances in mechanism of antiangiogenic therapy combined with immune checkpoint inhibitors for treatment of non-small cell lung cancer.Frontiers in immunology · 2023Review
Corrections and comments
- Retraction · 2023-06-21Concerns/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 · · See also: https://pubpeer.com/publications/5A3A502AF13C448BDB23DF3525C94A
- Retracted
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To investigate the effect of camrelizumab + apatinib combined with radiotherapy on the expression of TRIM27, SCC-Ag, and CYFRA21-1 in advanced oligometastatic non-small-cell lung cancer (NSCLC). Methods: A retrospective analysis of patients with oligometastatic NSCLC who were treated at our hospital from January 1, 2021, to March 31, 2022. Patients who met the inclusion criteria were summarized into an observation group (camrelizumab on the basis of the control group), or a control group (radiotherapy combined with oral apatinib). The disease control rate, immune function, changes in the levels of TRIM27, SCC-Ag, CYFRA21-1, and the occurrence of adverse effects were compared between the two groups. Result: There were 86 patients who met the inclusion criteria, with 53 cases in the observation group and 33 cases in the control group. There were significant differences in complete remission (CR, 25/53 vs. 10/33), partial remission (PR, 17/53 vs. 12/33), disease control (DC, 7/53 vs. 4/33), disease progression (DP, 4/53 vs. 7/33), and disease control rate (49/53 vs. 26/33) between the observation group and the control group. There was no significant difference in immune function between the two groups before treatment ( Conclusion: Treatment of camrelizumab + apatinib combined with radiotherapy is effective for advanced oligometastatic NSCLC, with mild adverse effects.
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.