Evidence map›Paper›PMID 37796646›Full record

SynthesisCancer journal (Sudbury, Mass.)

Evaluation of the Prognostic Role of Liver Metastases on Patient Outcomes: Systematic Review and Meta-analysis.

Jessica J Waninger, Vincent T Ma, Zoey Chopra, Ashley N Pearson, Michael D Green

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Cancer journal (Sudbury, Mass.). 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
–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

13 citing papers in PubMed.

  1. Trial
  2. Article
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  5. Article
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  10. Advances in Vaccine-Based Therapies for Pancreatic Cancer.Journal of gastrointestinal cancer · 2025
    Review
  11. Review
  12. Article
  13. Review
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

5 authors.

Jessica J WaningerFrom the Department of Ophthalmology, University of Michigan, Ann Arbor, MI.
Vincent T Ma
Zoey ChopraDepartment of Economics.
Ashley N Pearson
Michael D Green

Funding

MICHIGAN MEDICAL SCIENTIST TRAINING PROGRAMT32GM007863 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI COLLINS, KATHLEEN L. · 1985 to 2024
$38.3M
Ablating Liver Metastases with SBRT to Enhance Immune Checkpoint Blockade in MelanomaR01CA276217 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI THEODORE S LAWRENCE · 2023 to 2026
$2.2M
Targeting BUB 1 for radio- and immuno-sensitization of Triple Negative Breast Cancer (TNBC)R21CA252010 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GREEN, MICHAEL DANIEL, NYATI, SHYAM · 2021 to 2021
$401k
Enhancing Ferroptosis to Augment Responses to Immune Checkpoint BlockadeI01BX005267 · VA · VETERANS HEALTH ADMINISTRATION · PI GREEN, MICHAEL DANIEL · 2022 to 2025
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BLRD VA I01 BX005267NCI NIH HHS R01 CA276217NCI NIH HHS R21 CA252010NIGMS NIH HHS T32 GM007863
6 · The paper itself

Abstract

abstractThe liver is a common site of metastasis for many primary malignancies, but the quantitative impact on survival is unknown. We performed a systematic review and meta-analysis of 83 studies (604,853 patients) assessing the overall hazard associated with liver metastases by primary tumor type and treatment regimen. The pooled overall survival hazard ratio (HR) for all included studies was 1.77 (95% confidence interval [CI], 1.62-1.93). Patients with breast cancer primaries fared the worst (HR, 2.37; 95% CI, 1.64-3.44), as did patients treated with immunotherapies (HR, 1.86; 95% CI, 1.42-2.42). Liver metastases negatively impact survival, necessitating new approaches to disease management.

Indexed as

Breast NeoplasmsLiver NeoplasmsFemaleHumansPrognosisProportional Hazards Models

Identifiers

PMID37796646
PMCPMC10558088

What OpenQuestion holds

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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.