Evidence map›Paper›PMID 36377531›Full record

ArticleInternational wound journal2023

A time-dependent survival analysis for early prognosis of chronic wounds by monitoring wound alkalinity.

Le Quynh Hoang, Suvra Pal, Zhaoli Liu, Jon Senkowsky, Liping Tang

Abstract read
In one paragraph

Article in International wound journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. 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.

Le Quynh HoangDepartment of Bioengineering, University of Texas at Arlington, Arlington, Texas, USA.ORCID https://orcid.org/0000-0002-8072-8477
Suvra PalDepartment of Mathematics, The University of Texas at Arlington, Arlington, Texas, USA.
Zhaoli LiuCollege of Nursing and Health Innovation, The University of Texas at Arlington, Arlington, Texas, USA.
Jon SenkowskyTexas Health Physician's Group, Arlington, Texas, USA.
Liping TangDepartment of Bioengineering, University of Texas at Arlington, Arlington, Texas, USA.

Funding

DEVELOPMENT OF RATIOMETRIC IMAGING PROBE SYSTEM FOR MONITORING INFLAMMATIONR43GM101776 · NIGMS · PROGENITEC, INC. · PI HU, WENJING · 2012 to 2012
$220k
National Institute of Health AR064650NIGMS NIH HHS R43 GM101776
6 · The paper itself

Abstract

The objective is to determine whether monitoring wound alkalinity between visits may help prognosticate chronic wound healing. The alkalinity of 167 wounds during the first 3 visits was assessed using disposable DETEC® pH. Wounds grouped by frequency of alkaline results were compared by % wound size reduction during each visit and 120-day healing probability. The Cox proportional hazards model for time-dependent variables was used to generate non-healing probability curves, where variables are binary (alkaline/non-alkaline, infection/no infection), categorical (wound type), and continuous (wound area); the response is time to complete wound healing; and the event of interest is complete wound healing in 120 days. Results show that wounds with frequent alkaline results have significantly smaller % size reduction per visit. Logistic regression shows an increase in 120-day healing probability with fewer alkaline results. Survival analysis shows that the instantaneous healing rate of non-alkaline or non-alkaline transitioning wounds is 1.785, 2.925, and 5.908 times that of alkaline or alkaline-transitioning wounds for 1, 2, and 3 alkalinity measurements, respectively. Furthermore, the concordance statistic of each survival model shows that goodness of fit increases with more alkalinity measurements. Overall, frequent wound alkalinity assessments may serve as a novel way to prognosticate wound healing outcomes.

Indexed as

Wound HealingWounds and InjuriesChronic DiseaseHumansHydrogen-Ion ConcentrationPrognosisProportional Hazards Modelslogistic modelpHprognosissurvival analysiswound healing

Identifiers

PMID36377531
PMCPMC10088823

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.