Evidence map›Paper›PMID 33074323›Full record

SynthesisJAMA network open2020

Comparison of First-Line Treatments for Patients With Extensive-Stage Small Cell Lung Cancer: A Systematic Review and Network Meta-analysis.

Ting Zhou, Zhonghan Zhang, Fan Luo, Yuanyuan Zhao, Xue Hou, Tingting Liu, Kai Wang, Hongyun Zhao, Yan Huang, Li Zhang

Open access · goldAbstract readComparative StudySystematic ReviewNetwork Meta-Analysis
In one paragraph

Synthesis in JAMA network open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 6 pooled it
3.2field-weighted citation impact, top 6% 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

41 citing papers in PubMed, 6 syntheses or guidelines pooled it, 56 citations in OpenAlex.

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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.

Ting ZhouDepartment of Medical Oncology, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, People's Republic of China.
Zhonghan ZhangDepartment of Medical Oncology, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, People's Republic of China.
Fan LuoDepartment of Medical Oncology, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, People's Republic of China.
Yuanyuan ZhaoDepartment of Medical Oncology, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, People's Republic of China.
Xue HouDepartment of Medical Oncology, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, People's Republic of China.
Tingting LiuDepartment of Medical Oncology, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, People's Republic of China.
Kai WangDepartment of Medical Oncology, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, People's Republic of China.
Hongyun ZhaoDepartment of Medical Oncology, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, People's Republic of China.
Yan HuangDepartment of Medical Oncology, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, People's Republic of China.
Li ZhangDepartment of Medical Oncology, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, People's Republic of China.
Sun Yat-sen University · CNSun Yat-sen University Cancer Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Combinations of chemotherapy with immunotherapy or bevacizumab in first-line treatments of extensive-stage small cell lung cancer (ES-SCLC) have been evaluated in various clinical trials. However, it remains unclear what the optimal combination regimen is. Objective: To clarify which first-line combination regimen is associated with the best tumor response among patients with ES-SCLC. Data Sources: Electronic databases (PubMed, Embase, Cochrane Central Register of Controlled Trials, and Web of Science) were systematically searched to extract eligible literature from database inception to December 2019. Study Selection: Head-to-head randomized clinical trials on first-line treatments for patients with ES-SCLC were included with outcomes and toxic effects reported, including objective response rate (ORR, involving complete response and partial response), disease control rate (DCR, involving complete response, partial response, and stable disease), progression-free survival (PFS), overall survival (OS), and treatment related adverse events (TRAEs) of grades 3 to 5. Of 199 eligible articles, 14 were included. Data Extraction and Synthesis: Data were independently extracted and collected by 2 reviewers based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline. Data were pooled using a random-effects model. Main Outcomes and Measures: Main outcomes were OS, PFS, DCR, ORR, and TRAEs of grades 3 to 5. Results: A total of 3 phase 2 and 11 phase 3 randomized clinical trials involving 4838 patients were included. Programmed cell death ligand 1 (PD-L1) inhibitor (durvalumab and atezolizumab) plus etoposide-based chemotherapy, compared with etoposide-based chemotherapy alone, showed the most favorable OS (hazard ratio, 1.40; 95% CI, 1.09-1.80) and the best DCR (odds ratio [OR], 0.42; 95% CI, 0.21-0.81). Bevacizumab plus etoposide-based chemotherapy provided the best PFS compared with etoposide-based chemotherapy alone (hazard ratio, 1.54; 95% CI, 1.09-2.27), although this was not translated into OS benefit. The addition of PD-L1 inhibitors to etoposide-platinum chemotherapy caused no more toxic effects in general (compared with etoposide-based chemotherapy alone: OR, 1.14; 95% CI, 0.36-2.31), while bevacizumab plus etoposide-platinum regimen induced the most TRAEs grades 3 to 5 among all first-line treatments (eg, compared with irinotecan-platinum regimen: OR, 4.24; 95% CI, 1.26-14.57). Based on the surface under the cumulative ranking curve value, PD-L1 inhibitor plus etoposide-platinum had the highest probability of being ranked first for OS (0.87) and DCR (0.97). Conclusions and Relevance: The findings of this systematic review and network meta-analysis suggest that the combination of a PD-L1 inhibitor (durvalumab and atezolizumab) and etoposide-based chemotherapy may be an optimal first-line treatment option for patients with ES-SCLC patients.

Indexed as

AdultAgedAged, 80 and overAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedAntineoplastic Agents, PhytogenicEtoposideFemaleHumansImmunotherapyLung NeoplasmsMaleMiddle AgedSmall Cell Lung CarcinomaAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedAntineoplastic Agents, PhytogenicEtoposide

Identifiers

PMID33074323
PMCPMC7573680
OpenAlexW3092891071

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.