Evidence map›Paper›PMID 29284596›Full record

Trial reportBlood2018

Measurable residual disease detection by high-throughput sequencing improves risk stratification for pediatric B-ALL.

Brent Wood, David Wu, Beryl Crossley, Yunfeng Dai, David Williamson, Charles Gawad, Michael J Borowitz, Meenakshi Devidas, Kelly W Maloney, Eric Larsen and 7 more

Open access · bronzeAbstract readClinical Trial
In one paragraph

Trial report in Blood, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 108 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
108citing papers in PubMed, 1 pooled it
21.1field-weighted citation impact, top 1% 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

108 citing papers in PubMed, 1 synthesis or guideline pooled it, 220 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Article
  6. Review
  7. Review
  8. Review
  9. Observational
  10. Article
  11. Review
  12. Article
  13. Review
  14. Review
  15. Review
  16. Review
  17. Article
  18. Review
  19. Article
  20. Article

48 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 12 institutions in 1 country.

Brent WoodDepartment of Laboratory Medicine, University of Washington, Seattle, WA.
David WuDepartment of Laboratory Medicine, University of Washington, Seattle, WA.
Beryl CrossleyAdaptive Biotechnologies, Seattle, WA.
Yunfeng DaiDepartment of Biostatistics, University of Florida, Gainesville, FL.
David WilliamsonAdaptive Biotechnologies, Seattle, WA.
Charles GawadOncology, St. Jude Children's Research Hospital, Memphis, TN.
Michael J BorowitzOncology, St. Jude Children's Research Hospital, Memphis, TN.
Meenakshi DevidasDepartment of Biostatistics, University of Florida, Gainesville, FL.
Kelly W MaloneyUniversity Physicians, Children's Hospital of Colorado, Aurora, CO.
Eric LarsenMaine Children's Cancer Center, Scarborough, ME.
Naomi WinickPediatric Oncology, UT Southwestern, Dallas, TX.
Elizabeth RaetzPediatric Hematology/Oncology, University of Utah, Salt Lake City, UT.
William L CarrollPediatric Oncology, New York University, New York, NY.
Stephen P HungerPediatric Hematology/Oncology, Children's Hospital of Philadelphia, Philadelphia, PA.
Mignon L LohPediatric Hematology/Oncology, University of California San Francisco, San Francisco, CA; and.
Harlan RobinsAdaptive Biotechnologies, Seattle, WA.
Ilan KirschAdaptive Biotechnologies, Seattle, WA.
Adaptive Biotechnologies (United States) · USSt. Jude Children's Research Hospital · USUniversity of Florida · USUniversity of Washington · USChildren's Hospital Colorado · USChildren's Hospital of Philadelphia · USFred Hutch Cancer Center · USNew England Cancer Specialists · USNew York Oncology Hematology · USThe University of Texas Southwestern Medical Center · USUniversity of California, San Francisco · USUniversity of Utah · US

Funding

NCTN BIQSFP ANBL1531 (NRT)U10CA180886 · NCI · PUBLIC HEALTH INSTITUTE · PI Douglas S. Hawkins · 2014 to 2026
$390.6M
COG SDMC - Statistics CoreU10CA180899 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TODD A ALONZO · 2014 to 2026
$132.8M
Deep sequencing for minimal residual disease detection in Acute Lymphoblastic LeuR01CA175353 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI ROBINS, HARLAN S., WOOD, BRENT L · 2014 to 2018
$3.1M
NCI NIH HHS R01 CA175353NCI NIH HHS U10 CA180886NCI NIH HHS U10 CA180899
6 · The paper itself

Abstract

Early response to induction chemotherapy is an important prognostic factor in B-lymphoblastic leukemia (B-ALL). Here, we compare high-throughput sequencing (HTS) of

Indexed as

High-Throughput Nucleotide SequencingPrecursor B-Cell Lymphoblastic Leukemia-LymphomaAdolescentChildChild, PreschoolDisease-Free SurvivalFemaleHumansInfantMaleNeoplasm, ResidualRisk AssessmentSurvival Rate

Identifiers

PMID29284596
PMCPMC5865233
OpenAlexW2779241561

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.