Evidence map›Paper›PMID 28797782›Full record

ArticleBiology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation2017

Predictors for Permanent Discontinuation of Systemic Immunosuppression in Severely Affected Chronic Graft-Versus-Host Disease Patients.

Lauren M Curtis, Filip Pirsl, Seth M Steinberg, Sandra A Mitchell, Kristin Baird, Edward W Cowen, Jacqueline Mays, Nataliya P Buxbaum, Dominique C Pichard, Annie Im and 5 more

Registry-linked trialAbstract read
In one paragraph

Article in Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00092235 (Natural History Study of Clinical and Biological Factors Determining Outcomes in Chronic Graft-Versus-Host Disease), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.5field-weighted citation impact, top 31% 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.

NCT00092235 recruitingnot on this map

Natural History Study of Clinical and Biological Factors Determining Outcomes in Chronic Graft-Versus-Host Disease

TypeobservationalSponsorNational Cancer Institute (NCI)Ran2004Enrolled650ConditionsChronic Graft vs. Host Disease
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Organ Changes Associated with Provider-Assessed Responses in Patients with Chronic Graft-versus-Host Disease.Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation · 2019
    Observational
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

15 authors at 1 institution in 1 country.

Lauren M CurtisExperimental Transplantation and Immunology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Filip PirslExperimental Transplantation and Immunology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Seth M SteinbergBiostatistics and Data Management Section, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Sandra A MitchellOutcomes Research Branch Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Kristin BairdPediatric Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Edward W CowenDermatology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Jacqueline MaysNational Institute of Dental and Craniofacial Research, National Institutes of Health, Bethesda, Maryland.
Nataliya P BuxbaumExperimental Transplantation and Immunology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Dominique C PichardDermatology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Annie ImExperimental Transplantation and Immunology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland; Division of Hematology and Oncology, University of Pittsburgh Cancer Institute, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Daniele AvilaExperimental Transplantation and Immunology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Tiffani TaylorExperimental Transplantation and Immunology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Daniel H FowlerExperimental Transplantation and Immunology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Ronald E GressExperimental Transplantation and Immunology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Steven Z PavleticExperimental Transplantation and Immunology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland. Electronic address: pavletis@mail.nih.gov.
National Institutes of Health · US

Funding

Immune ReconstitutionZIABC010525 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI GRESS, RONALD · 2009 to 2023
$21.9M
Immunobiology and therapy of oral mucosal and salivary gland chronic graft-versus-host diseaseZIADE000747 · NIDCR · NATIONAL INSTITUTE OF DENTAL & CRANIOFACIAL RESEARCH · PI MAYS, JACQUELINE · 2016 to 2025
$14.9M
NIH Chronic GVHD Study GroupZIABC011743 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI PAVLETIC, STEVEN · 2016 to 2025
$10.2M
Intramural NIH HHS Z99 CA999999Intramural NIH HHS ZIA BC011743
6 · The paper itself

Abstract

Predicting the duration of systemic therapy in patients with chronic graft-versus-host disease (cGVHD) is of critical clinical importance when counseling patients and for treatment planning. cGVHD characteristics associated with this outcome have not been studied in severely affected patients. The National Institutes of Health (NIH) cGVHD scoring provides a standardized set of organ severity measures that could represent clinically useful and reproducible predictive characteristics. We analyzed 227 previously treated patients most with moderate (n = 54) or severe (n = 170) cGVHD defined by NIH criteria who were prospectively enrolled in a natural history protocol (NCT00092235). Patients received a median of 4 prior systemic therapy regimens and were seen at the NIH for a single time-point visit and were then monitored for survival and ability to discontinue cGVHD systemic therapy. With a median follow-up of 71.1 months, the cumulative incidence of systemic therapy discontinuation was 9.5% (95% confidence interval, 6.0% to 13.9%) at 2 years and 27.7% (95% confidence interval, 20.9% to 34.8%) by 5 years after the initial visit. Factors associated with a higher incidence of immunosuppression discontinuation included lower NIH global severity (P = .019) and lung (P = .030) scores and less extensive deep sclerosis (<37% body surface area, P = .024). Lower patient- and clinician-reported 0 to 10 severity NIH scores and noncyclosporine prophylaxis regimens were also associated with higher incidence of immunosuppression discontinuation (P <.05). In conclusion, we found low success rates for immune suppression discontinuation in previously treated patients who were severely affected with cGVHD. NIH scoring and clinical measures provide new standardized disease-specific tools to predict discontinuation of systemic therapy.

Indexed as

AdolescentAdultAftercareAgedChildChild, PreschoolChronic DiseaseFemaleGraft vs Host DiseaseHumansImmunosuppression TherapyImmunosuppressive AgentsMaleMiddle AgedProspective StudiesYoung AdultImmunosuppressive AgentsAllogeneic hematopoietic stem cell transplantationChronic graft-versus-host diseaseDiscontinuation of immunosuppressionLong-term follow-up

Identifiers

PMID28797782
PMCPMC6786784
OpenAlexW2745033302

What OpenQuestion holds

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Registered trials

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.