Evidence map›Paper›PMID 36387788›Full record

ReviewWorld journal of clinical cases2022

Lactation mastitis: Promising alternative indicators for early diagnosis.

Qian Huang, Xue-Mei Zheng, Mao-Lin Zhang, Ping Ning, Meng-Jun Wu

Open access · diamondAbstract readReview
In one paragraph

Review in World journal of clinical cases, 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
1.4field-weighted citation impact, top 18% 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. Review
  2. Review
  3. 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 at 3 institutions in 1 country.

Qian HuangSchool of Medicine, University of Electronic Science and Technology of China, Chengdu 610000, Sichuan Province, China.
Xue-Mei ZhengSchool of Medicine, University of Electronic Science and Technology of China, Chengdu 610000, Sichuan Province, China.
Mao-Lin ZhangDepartment of Anesthesiology, Chongqing Medical University, Chongqing 400016, Sichuan Province, China.
Ping NingDepartment of Breast, Chengdu Women's and Children's Central Hospital, Chengdu 610000, Sichuan Province, China. nping11@163.com.
Meng-Jun WuDepartment of Anesthesiology, Chengdu Women's and Children's Central Hospital, Chengdu 610000, Sichuan Province, China.
Chengdu Women's and Children's Central Hospital · CNUniversity of Electronic Science and Technology of China · CNChongqing Emergency Medical Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although lactation mastitis (LM) has been extensively researched, the incidence rate of LM remains a salient clinical problem. To reduce this incidence rate and achieve a better prognosis, early and specific quantitative indicators are particularly important. It has been found that milk electrolyte concentrations (chloride, potassium, and sodium) and electrical conductivity (EC) significantly change in the early stages of LM in an animal model. Several studies have evaluated EC for the detection of subclinical mastitis in cows. EC, chloride, and sodium content of milk were more accurate for predicting infection status than were other variables. In the early stages of LM, lactic sodium, chloride, and EC increase, but potassium decreases. However, these indicators have not been reported in the diagnosis of LM in humans. This review summarizes the pathogenesis and the mechanism of LM in terms of milk electrolyte concentration and EC, and aim to provide new ideas for the detection of sub-clinical mastitis in humans.

Indexed as

Early diagnosisLactation mastitisMechanismMilk electrical conductivityMilk electrolyte concentrationPathogenesis

Identifiers

PMID36387788
PMCPMC9649554
OpenAlexW4307560944

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.