Evidence map›Paper›PMID 26421015›Full record

ArticleAdvances in hematology2015

Predictors of Outcome and Severity in Adult Filipino Patients with Febrile Neutropenia.

Marc Gregory Y Yu, Ralph Elvi M Villalobos, Ma Jasmin Marinela C Juan-Bartolome, Regina P Berba

Open access · goldAbstract read
In one paragraph

Article in Advances in hematology, 2015. 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 85% 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, 1 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.

Marc Gregory Y YuDepartment of Medicine, Philippine General Hospital, Taft Avenue, Ermita, 1000 Manila, Philippines.
Ralph Elvi M VillalobosDepartment of Medicine, Philippine General Hospital, Taft Avenue, Ermita, 1000 Manila, Philippines.
Ma Jasmin Marinela C Juan-BartolomeDepartment of Medicine, Philippine General Hospital, Taft Avenue, Ermita, 1000 Manila, Philippines.
Regina P BerbaDepartment of Medicine, Philippine General Hospital, Taft Avenue, Ermita, 1000 Manila, Philippines.
Philippine General Hospital · PH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim. The study aimed to describe the profile of Filipino febrile neutropenia patients and to determine parameters associated with severe outcomes. Methods. This is a retrospective study of Filipino febrile neutropenia patients admitted to the Philippine General Hospital. Patients were described in terms of clinical presentation and stratified according to the presence or absence of severe outcomes. Prognostic factors were then identified using regression analysis. Results. 115 febrile episodes in 102 patients were identified. Regression analysis yielded prolonged fever >7 days prior to admission (OR 2.43; 95% CI, 0.77-7.74), isolation of a pathogen on cultures (OR 2.69; 95% CI, 1.04-6.98), and nadir absolute neutrophil count (ANC) < 100 during admission (OR 1.96; 95% CI, 0.75-5.12) as significant predictors of poor outcome. Factors that significantly correlated with better outcome were granulocyte colony-stimulating factor (G-CSF) use (OR 0.31; 95% CI, 0.11-0.85) and completeness of antibiotic therapy (OR 0.26; 95% CI, 0.10-0.67). Conclusion. Prolonged fever >7 days prior to admission, positive pathogen on cultures, and nadir ANC < 100 during admission predicted severe outcomes, whereas G-CSF use and complete antibiotic therapy were associated with better outcomes. These prognostic variables might be useful in identifying patients that need more intensive treatment and monitoring.

Identifiers

PMID26421015
PMCPMC4573217
OpenAlexW2324602138

What OpenQuestion holds

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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.