Evidence map›Paper›PMID 37314294›Full record

ArticleTurkish journal of haematology : official journal of Turkish Society of Haematology2023

Identifying Risk Factors and Improving Preventive Strategies for Febrile Neutropenia in Children with Leukemia Receiving Ciprofloxacin Prophylaxis

Zühre Kaya, Nurettin Alıcı, Serap Kırkız, Ülker Koçak

Open access · diamondAbstract read
In one paragraph

Article in Turkish journal of haematology : official journal of Turkish Society of Haematology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 62% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 1 institution in 1 country.

Zühre KayaGazi University Faculty of Medicine, Department of Pediatric Hematology, Ankara, TürkiyeORCID 0000-0002-3798-7246
Nurettin AlıcıGazi University Faculty of Medicine, Department of Pediatric Hematology, Ankara, TürkiyeORCID 0000-0002-5333-5280
Serap KırkızGazi University Faculty of Medicine, Department of Pediatric Hematology, Ankara, TürkiyeORCID 0000-0002-3885-5325
Ülker KoçakGazi University Faculty of Medicine, Department of Pediatric Hematology, Ankara, TürkiyeORCID 0000-0002-8701-5285
Gazi University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to identify risk factors and improve preventive strategies for febrile neutropenia (FEN) in children with leukemia who were receiving ciprofloxacin prophylaxis. The study included 100 children with leukemia [n=80 with acute lymphoblastic leukemia and n=20 with acute myeloblastic leukemia (AML)]. Patients were divided into two groups based on whether they had three or fewer FEN episodes (Group 1) or more than three FEN episodes (Group 2). Group 1 contained 63 (63%) of the 100 patients, while Group 2 contained 37 (37%). Older age (≥7 years), leukemia type, prolonged neutropenia (>10 days), and the presence of neutropenia and hypogammaglobulinemia at diagnosis were all risk factors for having more than three FEN episodes. Our findings suggest that, in addition to ciprofloxacin prophylaxis, identifying risk factors and improving preventive strategies could help reduce FEN episodes in children with leukemia.

Indexed as

Febrile NeutropeniaLeukemia, Myeloid, AcutePrecursor Cell Lymphoblastic Leukemia-LymphomaChildCiprofloxacinHumansRisk FactorsCiprofloxacinChildrenFebrile neutropeniaLeukemiaProphylaxisRisk factor

Identifiers

PMID37314294
PMCPMC10476261
OpenAlexW4380577422

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.