MétaCan
Menu
← Back to cohort

Implementation of Standardized International Karyotype Scoring Practices Is Needed to Provide Uniform and Systematic Evaluation for Patients with Myelodysplastic Syndrome Using IPSS Criteria: An International Working Group on MDS Cytogenetics Study

2008· article· en· W2993646328 on OpenAlexaff
Kathy Chun, Anne Hagemeijer, M. Anwar Iqbal, Marilyn L. Slovak

Bibliographic record

VenueBlood · 2008
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsNorth York General Hospital
Fundersnot available
KeywordsInternational Prognostic Scoring SystemKaryotypeCytogeneticsMedicineMyelodysplastic syndromesOncologyInternal medicinePediatricsBiologyChromosomeBone marrowGenetics

Abstract

fetched live from OpenAlex

Abstract BACKGROUND: The International Prognosis Scoring System (IPSS) for evaluating the clinical outcome for patients with myelodysplastic syndromes is widely used to estimate overall survival and time of progression to acute myeloid leukemia. Karyotype status and complexity are key components of the IPSS; however, emerging data suggest the use of cytogenetics at disease presentation is not applied uniformly among MDS patients. AIM/METHODS: To investigate the degree of consistency of scoring karyotypes for IPSS among cytogeneticists and clinicians, the International Working Group on MDS Cytogenetics (IWGMC) conducted a survey of 32 karyotype challenges carried out in two phases: an initial survey without any specified karyotype counting guidelines and a second survey conducted after the development of IWGMC consensus guidelines for scoring karyotype complexity. The consensus guidelines for counting aberrations were: count 1 aberration for each numerical change (including –Y), balanced translocation and simple structural change; count 1 aberration for each complex structural change; count 0 for a constitutional aberration, but if in doubt, count 1 aberration; when multiple clones are present, add all independent aberrations, but count a single (specific) change only once; count 1 aberration for tetraploidy; and until it is revised, all chromosome 7 abnormalities are considered “poor”. The number of cytogenetic aberrations and the corresponding IPSS score (Good, Intermediate or Poor) were also to be given for each of the karyotypes. Twenty cytogeneticists and two clinicians participated in the initial survey. The second survey with attached IWGMC guidelines was completed by 23 cytogeneticists and 16 hematologists working at MDS Foundation Centers of Excellence worldwide. RESULTS: Despite the excellent concordance in the evaluation of simple karyotypic aberrations, major differences in scoring complex abnormalities were observed among the cytogeneticists who participated in the initial survey. After implementation of the IWGMC guidelines, scoring among the cytogeneticists in the second survey became homogeneous (<10% discrepant results). However, scoring among the hematologists remained much less consistent, with difficulties surrounding ploidy and complex rearrangements/karyotypes. These data and the results of a recent international physician’s practice survey conducted by the MDS Foundation, Inc., indicating 86% of 98 respondents state cytogenetic results had impact on their management of MDS patients and cytogenetic scoring is most often assigned by hematologists (67%), support the need for standardized karyotype scoring practices. These data also highlight that a number of unresolved issues with karyotype status and complexity scoring remain, including the status of –Y, classification of 7p abnormalities, and ploidy status and count. CONCLUSIONS: Our survey results indicate that cytogeneticists are capable of scoring karyotype complexity consistently with the consensus guidelines, whereas the hematologists remain slightly more puzzled by the nomenclature. Furthermore, despite these consensus guidelines, there remains a number of unresolved issues with karyotype status and complexity scoring. Therefore, our results argue for the immediate need of an international standardized complexity scoring system as well as a corresponding IPSS cytogenetic scoring system for clinical practice. We also argue that cytogeneticists must become more proactive in the management of MDS patients by implementing an immediate practice change that includes the IPSS karyotype score on the cytogenetics reports of all newly diagnosed MDS patients. Assisting the hematologists in this manner would ensure that cytogenetic data are applied in a uniform and systematic (comparable) manner, especially when new therapeutic approaches for MDS patients are being evaluated.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.044
metaresearch head score (Gemma)0.058
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.956
Threshold uncertainty score0.233

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0440.058
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.004
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.080
GPT teacher head0.401
Teacher spread0.321 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designObservational
DomainMethods
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueBlood→Same topicAcute Myeloid Leukemia Research→French-language works237,207→