Evidence map›Paper›PMID 35175853›Full record

SynthesisAnnals of the Royal College of Surgeons of England2023

Breast cancer liver metastases: systematic review and time to event meta-analysis with comparison between available treatments.

K Rangarajan, L Lazzereschi, D Votano, Z Hamady

Open access · greenAbstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Annals of the Royal College of Surgeons of England, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

10 citing papers in PubMed, 11 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

4 authors at 2 institutions in 1 country.

K RangarajanUniversity Hospital Southampton NHS Foundation Trust, UK.
L LazzereschiUniversity Hospital Southampton NHS Foundation Trust, UK.
D VotanoAshford & St. Peter's Hospitals NHS Foundation Trust, UK.
Z HamadyAshford & St. Peter's Hospitals NHS Foundation Trust, UK.
Ashford and St Peter's Hospitals NHS Foundation Trust · GBUniversity Hospital Southampton NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe current gold standard treatment for breast cancer liver metastases (BCLM) is systemic chemotherapy and/or hormonal therapy. Nonetheless, greater consideration has been given to local therapeutic strategies in recent years. We sought to compare survival outcomes for available systemic and local treatments for BCLM, specifically surgical resection and radiofrequency ablation.

methodsA review of the PubMed (MEDLINE), Embase and Cochrane Library databases was conducted. Data from included studies were extracted and subjected to time-to-event data synthesis, algorithmically reconstructing individual patient-level data from published Kaplan-Meier survival curves.

findingsA total of 54 studies were included, comprising data for 5,430 patients (surgery,

conclusionLocal therapeutic interventions such as liver resection and radiofrequency ablation are effective treatments for BCLM, particularly in patients with metastatic disease localised to the liver. Although the data from this review support surgical resection for BCLM, further prospective studies for managing oligometastatic breast cancer disease are required.

Indexed as

Breast NeoplasmsLiver NeoplasmsCutaneous Malignant MelanomaFemaleHepatectomyHumansProspective StudiesTreatment OutcomeBreast cancerHepatic resectionLiver metastasesRadiofrequency ablationSystemic therapy

Identifiers

PMID35175853
PMCPMC10066639
OpenAlexW4213266198

What OpenQuestion holds

Textmetadata
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.