Evidence map›Paper›PMID 38601487›Full record

ReviewCancer pathogenesis and therapy2024

Efficacy and safety of first-line treatment for metastatic triple-negative breast cancer: A network meta-analysis.

Mingqiang Shi, Zhoujuan Li, Guoshuang Shen, Tianzhuo Wang, Jinming Li, Miaozhou Wang, Zhen Liu, Fuxing Zhao, Dengfeng Ren, Jiuda Zhao

Open access · diamondAbstract readReview
In one paragraph

Review in Cancer pathogenesis and therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.5field-weighted citation impact, top 4% 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

13 citing papers in PubMed, 24 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 1 institution in 1 country.

Mingqiang ShiBreast Disease Diagnosis and Treatment Center of Affiliated Hospital of Qinghai, University & Affiliated Cancer Hospital of Qinghai University, Xining, Qinghai 810000, China.
Zhoujuan LiBreast Disease Diagnosis and Treatment Center of Affiliated Hospital of Qinghai, University & Affiliated Cancer Hospital of Qinghai University, Xining, Qinghai 810000, China.
Guoshuang ShenBreast Disease Diagnosis and Treatment Center of Affiliated Hospital of Qinghai, University & Affiliated Cancer Hospital of Qinghai University, Xining, Qinghai 810000, China.
Tianzhuo WangBreast Disease Diagnosis and Treatment Center of Affiliated Hospital of Qinghai, University & Affiliated Cancer Hospital of Qinghai University, Xining, Qinghai 810000, China.
Jinming LiBreast Disease Diagnosis and Treatment Center of Affiliated Hospital of Qinghai, University & Affiliated Cancer Hospital of Qinghai University, Xining, Qinghai 810000, China.
Miaozhou WangBreast Disease Diagnosis and Treatment Center of Affiliated Hospital of Qinghai, University & Affiliated Cancer Hospital of Qinghai University, Xining, Qinghai 810000, China.
Zhen LiuBreast Disease Diagnosis and Treatment Center of Affiliated Hospital of Qinghai, University & Affiliated Cancer Hospital of Qinghai University, Xining, Qinghai 810000, China.
Fuxing ZhaoBreast Disease Diagnosis and Treatment Center of Affiliated Hospital of Qinghai, University & Affiliated Cancer Hospital of Qinghai University, Xining, Qinghai 810000, China.
Dengfeng RenBreast Disease Diagnosis and Treatment Center of Affiliated Hospital of Qinghai, University & Affiliated Cancer Hospital of Qinghai University, Xining, Qinghai 810000, China.
Jiuda ZhaoBreast Disease Diagnosis and Treatment Center of Affiliated Hospital of Qinghai, University & Affiliated Cancer Hospital of Qinghai University, Xining, Qinghai 810000, China.
Qinghai University Affiliated Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Metastatic triple-negative breast cancer (mTNBC) is an aggressive histological subtype with poor prognosis. Several first-line treatments are currently available for mTNBC. This study conducted a network meta-analysis to compare these first-line regimens and to determine the regimen with the best efficacy. Methods: A systematic search of PubMed, EMBASE, the Cochrane Central Register of Controlled Bases, and minutes of major conferences was performed. Progression-free survival (PFS), overall survival (OS), and objective response rate (ORR) were analyzed via network meta-analysis using the R software (R Core Team, Vienna, Austria). The efficacy of the treatment regimens was compared using hazard ratios and 95% confidence intervals. Results: A total of 29 randomized controlled trials involving 4607 patients were analyzed. The ranking was based on the surface under the cumulative ranking curve. Network meta-analysis results showed that cisplatin combined with nab-paclitaxel or paclitaxel was superior to docetaxel plus capecitabine in terms of PFS and ORR. For programmed death-ligand 1 (PD-L1) and breast cancer susceptibility gene ( Conclusion: Cisplatin combined with nab-paclitaxel or paclitaxel is the preferred first-line treatment for mTNBC. For PD-L1 and

Indexed as

AKT inhibitorChemotherapyFirst-line treatmentImmune-checkpoint inhibitorsMetastatic triple-negative breast cancerNetwork meta-analysisPoly (ADP-Ribose) polymerase inhibitors

Identifiers

PMID38601487
PMCPMC11002666
OpenAlexW4380986446

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.