Evidence map›Paper›PMID 31131442›Full record

ArticleBritish journal of haematology2019

Utilizing a PLASMIC score-based approach in the management of suspected immune thrombotic thrombocytopenic purpura: a cost minimization analysis within the Harvard TMA Research Collaborative.

Vivek A Upadhyay, Benjamin P Geisler, Lova Sun, Lynne Uhl, Richard M Kaufman, Christopher Stowell, Robert S Makar, Pavan K Bendapudi

Abstract read
In one paragraph

Article in British journal of haematology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. ADAMTS13 in the New Era of TTP.International journal of molecular sciences · 2024
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. The standard of care for immune thrombotic thrombocytopenic purpura today.Journal of thrombosis and haemostasis : JTH · 2021
    Review
  8. Article
  9. ISTH guidelines for the diagnosis of thrombotic thrombocytopenic purpura.Journal of thrombosis and haemostasis : JTH · 2020
    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.

Vivek A UpadhyayDepartment of Medicine, Massachusetts General Hospital, Boston, MA, USA.
Benjamin P GeislerDepartment of Medicine, Massachusetts General Hospital, Boston, MA, USA.
Lova SunDepartment of Medicine, Massachusetts General Hospital, Boston, MA, USA.
Lynne UhlHarvard Medical School, Boston, MA, USA.
Richard M KaufmanHarvard Medical School, Boston, MA, USA.
Christopher StowellHarvard Medical School, Boston, MA, USA.
Robert S MakarHarvard Medical School, Boston, MA, USA.
Pavan K BendapudiHarvard Medical School, Boston, MA, USA.ORCID 0000-0002-0754-7688

Funding

CANCER CLINICAL EPIDEMIOLOGY TRAINING GRANTT32CA009679 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Richard Aplenc, Karen Glanz · 1992 to 2026
$11.1M
The Role of Coagulation Factor XII in Hemostasis and ThrombosisK08HL136840 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI BENDAPUDI, PAVAN · 2017 to 2021
$817k
NCI NIH HHS T32 CA009679NHLBI NIH HHS K08 HL136840
6 · The paper itself

Abstract

The PLASMIC score is a recently described clinical scoring algorithm that rapidly assesses the probability of severe ADAMTS13 (a disintegrin and metalloproteinase with a thrombospondin type 1 motif, member 13) deficiency among patients presenting with microangiopathic haemolytic anaemia. Using a large multi-institutional cohort, we explored whether an approach utilizing the PLASMIC score to risk-stratify patients with suspected immune thrombotic thrombocytopenic purpura (iTTP) could lead to significant cost savings. Our consortium consists of institutions with an unrestricted approach to ADAMTS13 testing (Group A) and those that require pre-approval by the transfusion medicine service (Group B). Institutions in Group A tested more patients than those in Group B (P < 0·001) but did not identify more cases of iTTP (P = 0·29) or have lower iTTP-related mortality (P = 0·84). Decision tree cost analysis showed that applying a PLASMIC score-based strategy to screen patients for ADAMTS13 testing in Group A would have reduced costs by approximately 27% over the 12-year period of our study compared to the current approach. Savings were primarily driven by a reduction in unnecessary therapeutic plasma exchanges, but lower utilization of ADAMTS13 testing and subspecialty consultations also contributed. Our data indicate that using the PLASMIC score to guide ADAMTS13 testing and the management of patients with suspected iTTP could be associated with significant cost savings.

Indexed as

AdultAgedCohort StudiesCosts and Cost AnalysisFemaleHumansMaleMiddle AgedPurpura, Thrombotic ThrombocytopenicADAMTS13cost savings/effectivenessPLASMICthrombotic thrombocytopenic purpuraTTP

Identifiers

PMID31131442
PMCPMC6642029

What OpenQuestion holds

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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.