Evidence map›Paper›PMID 42504296›Full record

ArticleClinical Medicine Insights. Oncology2026

Combination Therapy, Drug Interactions, and Survival Outcomes in Metastatic Breast Cancer: A Pooled Analysis of Phase II Trials.

Faruque Azam, Tanisha Momtaz, Farzana Islam, Kazi Fatema Rahman, Sohana Shobnam, Pulock Paul, Md Jawat Alam

Abstract read
In one paragraph

Article in Clinical Medicine Insights. Oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Faruque AzamSchool of Pharmacy, BRAC University, Dhaka, Bangladesh.ORCID https://orcid.org/0000-0002-5155-5255
Tanisha MomtazSchool of Pharmacy, BRAC University, Dhaka, Bangladesh.
Farzana IslamSchool of Pharmacy, BRAC University, Dhaka, Bangladesh.
Kazi Fatema RahmanSchool of Pharmacy, BRAC University, Dhaka, Bangladesh.
Sohana ShobnamSchool of Pharmacy, BRAC University, Dhaka, Bangladesh.
Pulock PaulSchool of Pharmacy, BRAC University, Dhaka, Bangladesh.
Md Jawat AlamSchool of Pharmacy, BRAC University, Dhaka, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The relationship between regimen complexity, treatment sequencing, and survival outcomes in metastatic breast cancer (MBC) remains poorly characterized. Objectives: To quantify how treatment complexity, line of therapy, and baseline performance status (PS) differentially affect progression-free survival (PFS) and overall survival (OS), and to identify synergistic and antagonistic drug combinations across MBC phase II trials. Methods: A systematic PubMed search (1992-2022) identified 892 eligible studies comprising 1,088 treatment arms and 53,672 patients. Objective response rate (ORR), median PFS, and median OS were extracted per arm along with molecular subtype, treatment size, therapy type, line of therapy, and weighted ECOG PS. Drug-drug interactions were inferred using a null model of non-interacting agents. Results: Adding agents improved both PFS and OS, but the PFS benefit was approximately twice the OS benefit (effect size, ε Conclusion: Combination therapy confers a substantially larger benefit for PFS than OS and partially compensates for the treatment-line penalty in patients with pretreated MBC. Patient fitness appears to become increasingly critical for long-term survival and may help guide regimen planning.

Indexed as

breast cancerdrug-drug interactiondrug synergyECOG performance statusoverall survivalprogression-free survivalresponse ratetreatment line

Identifiers

PMID42504296
PMCPMC13401638

What OpenQuestion 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 OpenQuestion graph.