Evidence map›Paper›PMID 34540354›Full record

ArticleAmerican journal of blood research2021

Analysing "tear-drop" prints of acute promyelocytic leukemia (APML): immunophenotypic prognostication of APML by FCM.

Fouzia Siraj, Pranay Tanwar, Amitabh Singh, Bhavika Rishi, Amar Ranjan, Anita Chopra, Sandeep Rai, Sameer Bakhshi, Aroonima Misra

Open access · greenAbstract read
In one paragraph

Article in American journal of blood research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Fouzia SirajICMR-National Institute of Pathology, Safdarjung Hospital Campus Ansari Nagar, New Delhi, India.
Pranay TanwarDepartment of Laboratory Oncology, DR B R A IRCH, All India Institute of Medical Sciences New Delhi, India.
Amitabh SinghDepartment of Pediatrics, VMMC and Safdarjung Hospital Ansari Nagar, New Delhi, India.
Bhavika RishiICMR-National Institute of Pathology, Safdarjung Hospital Campus Ansari Nagar, New Delhi, India.
Amar RanjanDepartment of Laboratory Oncology, DR B R A IRCH, All India Institute of Medical Sciences New Delhi, India.
Anita ChopraDepartment of Laboratory Oncology, DR B R A IRCH, All India Institute of Medical Sciences New Delhi, India.
Sandeep RaiDepartment of Laboratory Oncology, DR B R A IRCH, All India Institute of Medical Sciences New Delhi, India.
Sameer BakhshiDepartment of Medical Oncology, DR B R A IRCH, All India Institute of Medical Sciences New Delhi, India.
Aroonima MisraICMR-National Institute of Pathology, Safdarjung Hospital Campus Ansari Nagar, New Delhi, India.
All India Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAcute promyelocytic leukemia (APML), although genetically and morphologically distinct from other AML (acute myeloid leukemia) subtypes, is one of the most best responsive acute myeloid leukemia. -Conventional diagnostic methods and morphological hints often fail in the majority of the cases in the peripheral laboratories owing to resource constraints, unavailability of cytogenetic work-up, hypogranular variants, morphological mimicry by AML-monocytic and myelo-monocytic, etc. Flowcytometry (FCM), however, can be utilized as a feasible and reliable immunophenotypic diagnostic and prognostic tool for prompt identification of APML. In order to rapidly and sensitively diagnose APML we intended to suggest a cost effective, sensitive FCM panel and also to prognositicate patients. MATERIAL AND

methodsIn this retrospective study, flowcytometry characteristics of 123 cases of acute promyelocytic leukemia were studied including 40 hypogranular variants. The expression of markers was compared with the Mean flurescent Intensity (MFI) and percent expression of markers. A non-statistical comparison was made with cases of acute monocytic leukemia. The cases were grouped according to their immunophenotype characteristics and expression with comparison of MFI by multivariate logistic regression. The aberrant markers positive at diagnostic and remission flow test were compared with the survival outcomes, and their positive predictive values were calculated.

resultsThe most common feature of side scatter property was the absence of blasts in the window and high side scatter, except hypogranular variants which had low side scatter. Immunophenotypically characterised by positivity for CD117, cMPO, and bright CD33 and CD13 positivity and lack of CD34 and HLA-DR was seen in the majority of APML including hypo-granular variant. We suggest a rapid diagnostic four-tube panel for fast and rapid diagnosis of APML, including hypogranular variants with 100% sensitivity. The study also identified six groups of immunophenotypes with significant prediction values of APML, including hypogranular variants. The study also highlights CD2, CD56, and CD9 as prognostic markers for acute promyelocytic leukemia.

Indexed as

Acute promyelocytic leukemiaflowcytometryhypogranular variantsprognostication

Identifiers

PMID34540354
PMCPMC8446832
OpenAlexW3200094777

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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.