Evidence map›Paper›PMID 35926065›Full record

ArticlePloS one2022

Usefulness of the delta neutrophil index in predicting surgery in patients with foot and ankle infection.

Ji Eun Shin, Kyung Deok Seo, Hyun Jae Cha, Jong Wook Lee, Youn Moo Heo, Kwang Kyoun Kim, Tae Gyun Kim, Chan Kang, Gi Soo Lee, Jae Hwang Song

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

10 authors.

Ji Eun ShinDepartment of Biomedical Informatics, College of Medicine, Konyang University, Daejeon, Republic of Korea.ORCID 0000-0002-6192-2610
Kyung Deok SeoDepartment of Orthopedic Surgery, Konyang University Hospital, Daejeon, Republic of Korea.
Hyun Jae ChaDepartment of Orthopedic Surgery, Konyang University Hospital, Daejeon, Republic of Korea.
Jong Wook LeeDepartment of Laboratory Medicine, Konyang University Hospital, Daejeon, Republic of Korea.
Youn Moo HeoDepartment of Orthopedic Surgery, Konyang University Hospital, Daejeon, Republic of Korea.
Kwang Kyoun KimDepartment of Orthopedic Surgery, Konyang University Hospital, Daejeon, Republic of Korea.
Tae Gyun KimDepartment of Orthopedic Surgery, Konyang University Hospital, Daejeon, Republic of Korea.
Chan KangDepartment of Orthopedic Surgery, Chungnam National University Hospital, Daejeon, Republic of Korea.
Gi Soo LeeDepartment of Orthopedic Surgery, Chungnam National University Hospital, Daejeon, Republic of Korea.
Jae Hwang SongDepartment of Orthopedic Surgery, Konyang University Hospital, Daejeon, Republic of Korea.ORCID 0000-0001-5192-4965

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn foot and ankle infections, cases with apparent soft-tissue necrosis or purulent fluid collections definitely require surgical treatments. However, clinicians often have difficulty in determining whether to perform surgery in ambiguous cases without these findings. This study aimed to investigate the impact of the delta neutrophil index as a predictor of surgical treatment in patients with foot and ankle infections.

methodsIn total, 66 patients diagnosed with foot and ankle infections who underwent the delta neutrophil index test were retrospectively investigated. Medical records, including data on diabetes mellitus status, delta neutrophil index values, white blood cell count, polymorphonuclear leukocyte count, erythrocyte sedimentation rate, and C-reactive protein level, were retrospectively investigated. Logistic regression models were analyzed for the correlation between biomarkers, such as the delta neutrophil index and surgical treatment. The area under the curve was investigated to evaluate the cut-off value of the logistic model in predicting surgery.

resultsThe relationship between the delta neutrophil index and surgical treatment was analyzed. The delta neutrophil index, adjusted for diabetes mellitus, was the best predictor of future surgical intervention. Based on the Youden index, the cutoff point (the equation's adjusted by diabetes mellitus) for the prediction of surgical treatment was defined as a probability of 0.3, with sensitivity and specificity of 82.4% and 77.6%, respectively.

conclusionsBased on the present study, the delta neutrophil index can help clinicians decide the appropriate surgical treatment for foot and ankle infections at the right time.

Indexed as

AnkleNeutrophilsBlood SedimentationHumansLeukocyte CountRetrospective Studies

Identifiers

PMID35926065
PMCPMC9352078

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.