Evidence map›Paper›PMID 39118243›Full record

ArticleCancer reports (Hoboken, N.J.)2024

Kaitlyn C Dykes, Jiling Chou, Allison O Taylor, Albert C Shu, Sarah E Mudra, Xiaoyang Ma, Jaeil Ahn, Catherine E Lai

Abstract readEnglish Abstract
In one paragraph

Article in Cancer reports (Hoboken, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

8 authors.

Kaitlyn C DykesDepartment of Medicine, MedStar Georgetown University Hospital, Washington, DC, USA.ORCID 0000-0002-1638-1755
Jiling ChouDepartment of Biostatistics, Bioinformatics and Biomathematics, Georgetown University, Washington, DC, USA.
Allison O TaylorDepartment of Medicine, Division of Hematologic Malignancies & Cellular Therapy, Duke Cancer Institute, Durham, North Carolina, USA.ORCID 0000-0001-8797-9853
Albert C ShuDepartment of Medicine, MedStar Georgetown University Hospital, Washington, DC, USA.
Sarah E MudraDepartment of Medicine, MedStar Georgetown University Hospital, Washington, DC, USA.
Xiaoyang MaDepartment of Biostatistics, Bioinformatics and Biomathematics, Georgetown University, Washington, DC, USA.
Jaeil AhnDepartment of Biostatistics, Bioinformatics and Biomathematics, Georgetown University, Washington, DC, USA.
Catherine E LaiLombardi Comprehensive Cancer Center and MedStar Georgetown University Hospital, Washington, DC, USA.ORCID 0000-0001-8861-0281

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

bakgroundIt is important to understand the outcomes of adult acute lymphoblastic leukemia (ALL) patients at different facilities as treatment paradigms change.

aimsOur primary objective was to determine adult ALL overall survival (OS) by facility volume and type. Secondary objectives included identifying sociodemographic factors that may have impacted outcomes and analyzing treatment patterns by facility volume and type.

methodsThis was a retrospective analysis of the National Cancer Database (NCDB) that included patients ≥40 years diagnosed with ALL between 2004 and 2016.

resultsA total of 14 593 patients were included in this study. Univariate OS was greatest at low volume (LV) and community programs (CPs) and the least at high volume (HV) and academic programs (AP). This difference was lost after multivariable Cox proportional hazards model analysis, which found no difference in survival by facility volume or type, however, survival was significantly influenced by age, race, Hispanic ethnicity, insurance, and residence location (p < 0.05). Patients treated at HV and APs compared to LV and CP received more anti-neoplastic directed therapy.

conclusionOur results suggest treatment facility volume and type do not impact older adult ALL patient (≥40 years) survival, however confounding sociodemographic differences do impact survival outcomes, despite more aggressive and novel treatment approaches provided at HV and APs.

Indexed as

Databases, FactualPrecursor Cell Lymphoblastic Leukemia-LymphomaAdultAgedAged, 80 and overFemaleHospitals, High-VolumeHospitals, Low-VolumeHumansMaleMiddle AgedRetrospective StudiesSurvival RateUnited Statesepidemiologyhematalogical cancerleukemiasurvival

Identifiers

PMID39118243
PMCPMC11310087

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.