Evidence map›Paper›PMID 34604915›Full record

ArticleArchives of gynecology and obstetrics2022

A risk score for early predicting bloodstream infections in febrile obstetric patients: a pilot study.

Yaozong Zhang, Lan Li, Yunsheng Yan, Haifeng Qi, Jiali Qin, Li Ren, Ruoxuan Zhang

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Article in Archives of gynecology and obstetrics, 2022. 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 83% 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

7 authors at 2 institutions in 1 country.

Yaozong ZhangDepartment of Intensive Care Medicine, Chongqing Health Centre for Women and Children, 120 Longshan Road, Chongqing, 400013, China. YaozongZhang@vip.126.com.ORCID 0000-0003-2451-5263
Lan LiDepartment of Intensive Care Medicine, Chongqing Health Centre for Women and Children, 120 Longshan Road, Chongqing, 400013, China.
Yunsheng YanDepartment of Intensive Care Medicine, Chongqing Health Centre for Women and Children, 120 Longshan Road, Chongqing, 400013, China.
Haifeng QiDepartment of Intensive Care Medicine, Chongqing Health Centre for Women and Children, 120 Longshan Road, Chongqing, 400013, China.
Jiali QinDepartment of Intensive Care Medicine, Chongqing Health Centre for Women and Children, 120 Longshan Road, Chongqing, 400013, China.
Li RenDepartment of Obstetrics and Gynecology, Chongqing Health Centre for Women and Children, Chongqing, China.
Ruoxuan ZhangDepartment of Medicine, Harbin Medical University, Harbin, China.
Chongqing Maternal and Child Health Hospital · CNHarbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeEarly prediction of bloodstream infections (BSI) among obstetric patients remains to be a challenge for clinicians. The objective of this study was to develop a risk score and assess its discriminative ability in febrile obstetric patients in a maternal intensive care unit (ICU).

methodsBetween May 2015 and August 2020, a total of 497 febrile obstetric patients were categorized into BSI group (n = 276) and Non-BSI group (n = 221) based on the result of blood cultures. White blood cell count, C-reactive protein (CRP), procalcitonin (PCT), time of interval from amniorrhea to fever (IFAF) and maximum body temperature (T

resultsThe levels of neutrophil, CRP, PCT, IFAF and T

conclusionThe risk score has a feasible discriminatory ability in early prediction of BSI in febrile obstetric patients.

Indexed as

SepsisC-Reactive ProteinFemaleFeverHumansPilot ProjectsPregnancyProcalcitoninRetrospective StudiesRisk FactorsROC CurveC-Reactive ProteinProcalcitoninBloodstream infectionsEarly predictionFebrileObstetric patientsRisk score

Identifiers

PMID34604915
OpenAlexW3202169290

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.