Evidence map›Paper›PMID 36367837›Full record

ArticleNeuro-oncology2023

Incidence proportion and prognosis of leptomeningeal disease among patients with breast vs. non-breast primaries.

Nayan Lamba, Daniel N Cagney, Paul J Catalano, Hesham Elhalawani, Daphne A Haas-Kogan, Patrick Y Wen, Nikhil Wagle, Nancy U Lin, Ayal A Aizer, Shyam Tanguturi

Open access · greenAbstract read
In one paragraph

Article in Neuro-oncology, 2023. 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
2.9field-weighted citation impact, top 8% 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, 19 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Leptomeningeal Disease: Current Approaches and Future Directions.Current neurology and neuroscience reports · 2025
    Review
  8. Article
  9. Article
  10. Article
  11. Review
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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 4 institutions in 2 countries.

Nayan LambaHarvard Radiation Oncology Program, Harvard University, Boston, Massachusetts, USA.ORCID 0000-0002-2598-6529
Daniel N CagneyMater Private Hospital, Dublin, Ireland.
Paul J CatalanoDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, and Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Hesham ElhalawaniDepartment of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Daphne A Haas-KoganDepartment of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Patrick Y WenCenter for Neuro-Oncology, Dana-Farber/Brigham and Women's Cancer Center, Harvard Medical School, Boston, Massachusetts, USA.
Nikhil WagleDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Nancy U LinBreast Oncology Program, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Ayal A AizerDepartment of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Shyam TanguturiDepartment of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Brigham and Women's Hospital · USDana-Farber Cancer Institute · USHarvard University · USMater Misericordiae University Hospital · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLeptomeningeal disease (LMD) is a relatively uncommon manifestation of advanced cancer. Patients with LMD carry a poor prognosis and often decline rapidly, complicating inclusion in clinical trials. Identification of LMD subsets of greater incidence and more favorable prognosis might facilitate dedicated clinical trials in the future. We hypothesized that patients with breast cancer may represent such a population and sought to assess the relative incidence and prognosis of LMD secondary to breast vs. non-breast primaries.

methodsWe identified 2411 patients with intracranial metastases secondary to breast (N = 501) and non-breast (N = 1910) primaries at Brigham and Women's Hospital/Dana-Farber Cancer Institute between 1996 and 2020, of whom 112 presented with and an additional 161 subsequently developed LMD. A log-rank test and Cox modeling were used to compare outcomes in patients with breast vs. non-breast primaries.

resultsAmong patients with newly diagnosed intracranial disease, the incidence proportion of concurrent LMD was 11.4% vs. 2.9% among patients with breast vs. non-breast primaries (P < .001). Development of LMD among initially LMD-naïve patients was also more common among patients with breast vs. non-breast primaries (HR = 1.49 [1.05-2.11], P = .03). Patients with LMD secondary to breast vs. non-breast primaries displayed lower all-cause mortality (HR 0.70 [0.52-0.93], P = .01; median survival: 5.2 vs. 2.4 months, respectively), with a greater numerical difference observed in patients with LMD at intracranial involvement (7.4 vs. 2.6 months, respectively).

conclusionsPatients with breast cancer and LMD may represent an ideal population for clinical trials given the higher incidence and potentially more favorable prognosis seen in this population.

Indexed as

Brain NeoplasmsBreast NeoplasmsMeningeal NeoplasmsFemaleHumansIncidencePrognosisRetrospective Studiesbrain metastasesbreast cancerleptomeningeal disease

Identifiers

PMID36367837
PMCPMC10158280
OpenAlexW4308773293

What OpenQuestion holds

Textmetadata
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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.