Evidence map›Paper›PMID 36750485›Full record

SynthesisAnnals of hematology2023

Value of the FDP/FIB ratio in predicting early severe bleeding events in patients with newly diagnosed acute promyelocytic leukemia.

Shanshan Li, Yujuan Gao, Fei Li, Yu Zheng, Yanhua Su

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Annals of hematology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 5 citations in OpenAlex.

  1. APL-like subset withinHemaSphere · 2026
    Article
  2. Article
  3. Article
  4. Hemorrhage in acute promyelocytic leukemia-fibrinolysis in focus.Research and practice in thrombosis and haemostasis · 2024
    Review
  5. Review
  6. Establishment and Application of Warning Scoring System for Bleeding Severity in Patients with Newly Diagnosed Acute Promyelocytic Leukemia.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    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 at 1 institution in 1 country.

Shanshan LiThe First Affiliated Hospital of Harbin Medical University, Longjiang Road, Harbin, 150007, Heilongjiang Province, China.
Yujuan GaoThe First Affiliated Hospital of Harbin Medical University, Longjiang Road, Harbin, 150007, Heilongjiang Province, China. 280862377@qq.com.ORCID http://orcid.org/0000-0001-8917-2332
Fei LiThe First Affiliated Hospital of Harbin Medical University, Longjiang Road, Harbin, 150007, Heilongjiang Province, China.
Yu ZhengThe First Affiliated Hospital of Harbin Medical University, Longjiang Road, Harbin, 150007, Heilongjiang Province, China.
Yanhua SuThe First Affiliated Hospital of Harbin Medical University, Longjiang Road, Harbin, 150007, Heilongjiang Province, China.
Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe bleeding is the leading cause of early death in patients with newly diagnosed acute promyelocytic leukemia (APL). However, there are no means for hemorrhagic risk stratification in APL. This study aimed to identify optimized predictors of severe bleeding events related to APL. A total of 109 consecutive patients with newly diagnosed APL from January 2015 to April 2022 were retrospectively investigated. A systematic review of computer-based patient medical records was conducted to obtain clinical date, including baseline characteristics, routine blood examination findings, coagulation and fibrinolysis indexes, and bleeding events. Among the 109 patients, 89 were classified into the no-severe bleeding group, while 20 had severe bleeding. Compared with the patients with no severe bleeding, the patients with severe bleeding had significantly higher circulating leukemic cell percentages, disseminated intravascular coagulation (DIC) scores, D-dimer (D-D) levels, and fibrin degradation product (FDP) levels. They also had lower fibrinogen (FIB) levels and a longer prothrombin time. Multivariate analysis revealed that the circulating leukemic cell percentage (OR = 1.040, CI = 1.008-1.072, P = 0.012), FIB level (OR = 0.101, CI = 0.011-0.896, P = 0.040), and FDP level (OR = 1.012, CI = 1.000-1.024, P = 0.047) were independent risk factors for severe bleeding. FDP/FIB, D-D/FIB, and seven meaningful indicators in the single-factor analysis were included in the receiver operating characteristic (ROC) curve analysis. The results showed that FDP/FIB was the best indicator for predicting severe bleeding related to newly diagnosed APL. The area under the ROC curve of FDP/FIB was 0.915, and the best cutoff value was 61.77, with 100% sensitivity and 74.2% specificity. Statistical analysis showed a higher incidence of severe bleeding and higher DIC scores when FDP/FIB was >61.77 in APL patients. FDP/FIB has obvious advantages in predicting the degree of bleeding associated with primary promyelocytic leukemia; the greater the FDP/FIB value, the more severe the bleeding. The risk of severe bleeding was the highest when FDP/FIB > 61.77.

Indexed as

Disseminated Intravascular CoagulationLeukemia, Promyelocytic, AcuteBlood CoagulationHemorrhageHumansRetrospective StudiesAcute promyelocytic leukemiaFDP/FIBPrediction factorSevere bleeding

Identifiers

PMID36750485
OpenAlexW4319340239

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.