Evidence map›Paper›PMID 31452052›Full record

ArticleAnnals of surgical oncology2019

Validation of Residual Cancer Burden as Prognostic Factor for Breast Cancer Patients After Neoadjuvant Therapy.

Hannah Deborah Müller, Florian Posch, Christoph Suppan, Ute Bargfrieder, Melanie Gumpoldsberger, Robert Hammer, Hubert Hauser, Nadia Dandachi, Kurt Prein, Herbert Stoeger and 2 more

Open access · hybridAbstract readValidation Study
In one paragraph

Article in Annals of surgical oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 16% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

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  14. Persistence of ctDNA in Patients with Breast Cancer During Neoadjuvant Treatment Is a Significant Predictor of Poor Tumor Response.Clinical cancer research : an official journal of the American Association for Cancer Research · 2022
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  19. Prognostic and predictive parameters in breast pathology: a pathologist's primer.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2021
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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

12 authors at 2 institutions in 1 country.

Hannah Deborah MüllerDivision of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Florian PoschDivision of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Christoph SuppanDivision of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Ute BargfriederDepartment of Pathology, Hospital Graz South-West, Graz, Austria.
Melanie GumpoldsbergerDivision of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Robert HammerDepartment of Surgery, Hospital Graz South-West, Graz, Austria.
Hubert HauserDepartment of Surgery, Hospital Graz South-West, Graz, Austria.
Nadia DandachiDivision of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Kurt PreinDepartment of Pathology, Hospital Graz South-West, Graz, Austria.
Herbert StoegerDivision of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Sigurd LaxDepartment of Pathology, Hospital Graz South-West, Graz, Austria.
Marija BalicDivision of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria. marija.balic@medunigraz.at.
Medical University of Graz · ATGraz University Hospital · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAssessing the residual cancer burden (RCB) predictive performance, the potential subgroup effects, and time-dependent impact on breast cancer patients who underwent neoadjuvant therapy in a developer's independent cohort is essential for its usage in clinical routine.

methodsBetween 2011 and 2016, the RCB scores of 184 female breast cancer patients were prospectively collected, and subsequent clinicopathological and follow-up data were obtained retrospectively. Recurrence-free survival (RFS), overall survival (OS), as well as subgroup analysis, and time-dependent variables were calculated with multivariate, complex, or linear statistical models.

resultsA total of 184 patients (HER2 33%, TNBC 27%), with a mean follow-up time of 4 years, treated with neoadjuvant systemic therapy (92% anthracycline-taxane based) were analyzed revealing 43 events (38 recurrences, 28 deaths). High RCB scores were associated with recurrence (median index: 2.34 vs. 1.39 points, rank-sum p < 0.0001), decreased RFS (hazard ratio [HR] = 1.80, 95% confidence interval [CI] 1.44-2.24, p < 0.0001) and reduced OS (HR 1.96, 95% CI 1.49-2.59, p < 0.0001). The RCB score showed proportionality of hazards (interaction HR with linear follow-up time = 1.00, p = 0.896) and good discriminating power (Harrell's c index 0.7).

conclusionsOur results confirm the RCB score as externally valid prognostic marker and being independent of molecular subtype for RFS and OS in a clinical setting.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsBreast NeoplasmsFemaleFollow-Up StudiesHumansMiddle AgedNeoadjuvant TherapyNeoplasm Recurrence, LocalNeoplasm, ResidualPrognosisProspective StudiesRetrospective StudiesSurvival Rate

Identifiers

PMID31452052
PMCPMC6864028
OpenAlexW2971194591

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.