Evidence map›Paper›PMID 38684509›Full record

ReviewAnnals of hematology2024

Early predictor for differentiation syndrome in newly diagnosed acute promyelocytic leukaemia patients treated with single-agent arsenic trioxide.

Yujuan Gao, Yuanyuan Xi, Wenqi Chen, Yanfen Meng, Yanhua Su

Abstract readReview
PubMed Publisher
In one paragraph

Review in Annals of hematology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Observational
  7. Article
  8. 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

5 authors.

Yujuan Gao *The First Affiliated Hospital of Harbin Medical University, Long Jiang Road, Harbin, 150007, Heilongjiang Province, China.
Yuanyuan Xi *The First Affiliated Hospital of Harbin Medical University, Long Jiang Road, Harbin, 150007, Heilongjiang Province, China.
Wenqi ChenThe First Affiliated Hospital of Harbin Medical University, Long Jiang Road, Harbin, 150007, Heilongjiang Province, China.
Yanfen MengThe First Affiliated Hospital of Harbin Medical University, Long Jiang Road, Harbin, 150007, Heilongjiang Province, China.
Yanhua SuThe First Affiliated Hospital of Harbin Medical University, Long Jiang Road, Harbin, 150007, Heilongjiang Province, China. suyanhua163@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Differentiation syndrome (DS) is the second leading cause of death in acute promyelocytic leukaemia (APL) patients. Few studies have tested predictors of DS events. This study aimed to identify optimized predictors of DS events related to APL. The data of 298 consecutive patients who were newly diagnosed with APL between December 2012 and June 2023 were retrospectively investigated. A systematic review of computer-based patient medical records was conducted to obtain clinical data, including baseline characteristics, routine blood examination findings, biochemical indices and clinical manifestations of DS. Among the 298 patients, 158 were classified into the no-DS group, while 140 had DS. Compared with those of patients without DS, the peripheral blast count, age, and WBC count at each time point were significantly different in patients with DS (P < 0.05 for all time points). Generalized linear mixed models (GLMMs) revealed that WBC

Indexed as

Arsenic TrioxideLeukemia, Promyelocytic, AcuteAdolescentAdultAgedAntineoplastic AgentsCell DifferentiationFemaleHumansLeukocyte CountMaleMiddle AgedPrognosisRetrospective StudiesRisk FactorsSyndromeAntineoplastic AgentsArsenic TrioxideAcute promyelocytic leukaemiaDifferentiation syndromePredictive factorWBC Double

Identifiers

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.