Evidence map›Paper›PMID 36367802›Full record

ArticleJournal of wound care2022

A wound alkalinity measurement to predict non-healing wound outcomes.

Jon Senkowsky, Shuxin Li, Ashwin Nair, Suvra Pal, Wenjing Hu, Liping Tang

Open access · greenAbstract read
In one paragraph

Article in Journal of wound care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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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

6 authors at 2 institutions in 1 country.

Jon SenkowskyTexas Health Physician's Group, Arlington, TX 76012, US.
Shuxin LiProgenitec Inc., Arlington, TX 76013, US.
Ashwin NairProgenitec Inc., Arlington, TX 76013, US.
Suvra PalDepartment of Mathematics, The University of Texas at Arlington, Arlington, TX 76019, US.
Wenjing HuProgenitec Inc., Arlington, TX 76013, US.
Liping TangDepartment of Bioengineering, The University of Texas at Arlington, Arlington, TX 76019, US.
Progenitec (United States) · USThe University of Texas at Arlington · US

Funding

DEVELOPMENT OF RATIOMETRIC IMAGING PROBE SYSTEM FOR MONITORING INFLAMMATIONR44GM101776 · NIGMS · PROGENITEC, INC. · PI HU, WENJING · 2016 to 2017
$1.3M
NIGMS NIH HHS R44 GM101776
6 · The paper itself

Abstract

objectiveAs wound pH could influence wound healing rates, this study examined the alkalinity of the entire wound during patients' follow-up visits to predict the final non-healing outcome.

methodWound alkalinity of patients with diabetic foot ulcers (DFUs), venous leg ulcers, and other wounds during three follow-up visits within a four week period was recorded. All wounds were followed until 12 weeks to confirm that healed wounds did not relapse. The alkalinity of various wounds over multiple visits with varying durations was compared with final wound status to assess whether one-time wound alkalinity measurement could predict non-healing wounds. The effect of wound types, infection, age and sex on such determinations was also studied.

resultsA total of 96 patients were included in this study. Based on probability variations of pre- and post-test non-healing outcomes from multiple visits over 12 weeks, second visit assessment gave the highest increase in risk of non-healing for an alkaline test result (+8.0%) and decrease in risk of non-healing for a non-alkaline test result (-19.7%). Moreover, a second visit (7-21 days from first visit) showed a greater change in risk for non-healing based on alkaline and non-alkaline test results (+15.7% and -38.1% respectively), compared with a visit within seven days (+6.3% and -12.5%, respectively). Wound type, infection, age and sex did not affect the prognostic ability of wound alkalinity.

conclusionThe results of this study support that a single wound alkalinity measurement during the second visit (7-21 days from first visit) can be used to predict non-healing wounds. Wound alkalinity may be routinely assessed to predict non-healing wounds and to determine whether the wounds are healing as expected following initial treatment.

Indexed as

Diabetic FootVaricose UlcerChronic DiseaseHumansWound Healingalkalinitychronicdiabeteshard-to-healnon-healingpHprognostic deviceulcerwoundwound carewound dressingwound healing

Identifiers

PMID36367802
PMCPMC12010428
OpenAlexW4308916268

What OpenQuestion holds

Textmetadata
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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.