MétaCan
Menu
Back to cohort
Record W2160522124 · doi:10.14740/jcgo.v4i2.307

Outcomes of Breastfeeding in Japanese Women With Flat or Inverted Nipples

2015· article· en· W2160522124 on OpenAlexvenueno aff
Shunji Suzuki, Midori Kotake, Asami Fujikawa, Yukie Kasahara, Miyuki Nishikawa, Sanae Kanai

Bibliographic record

VenueJournal of Clinical Gynecology and Obstetrics · 2015
Typearticle
Languageen
FieldMedicine
TopicBreastfeeding Practices and Influences
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineBreastfeedingObstetricsBreast feedingColostrumBreast milkPediatrics

Abstract

fetched live from OpenAlex

Occurrences of flat or inverted nipples are not uncommon problems and they often seriously hamper initiation and continuation of breastfeeding [1]. For example, these nipple problems may lead to a delay in breastfeeding initiation and thus deprive the baby from getting the benefits of colostrum. In addition, the inability to attach at the breast can cause infrequent suckling and it may lead to breast engorgement. If the mother is not shown how to maintain an adequate supply through expression of milk due to the problems, the production of milk is likely to decrease. In this study, we examined the prevalence of flat and inverted nipples among Japanese postpartum women and their influence on the rate of exclusive breastfeeding. We reviewed the obstetric records of all healthy nulliparous women with vaginal or cesarean singleton deliveries at 37 41 weeks’ gestation at the Japanese Red Cross Katsushika Maternity Hospital between March 1 and October 31, 2014. In this study, the staffs those have been certified as an expert of breast care in our hospital checked every postpartum woman to define the nipple forms and the presence of inability to attach at the breast at 1 2 and 3 5 days after delivery, respectively. A face-to-face interview was conducted to ask about their feeding methods at 7 days and 1 month after delivery. In this study, we excluded cases of women receiving drugs contraindicated for those lactating, mothers with a habit of smoking and/or drinking, and mothers without partners because they have been already reported to be associated with the prevalence of exclusive breastfeeding in Japanese women [2]. Demographic information and the characteristics of labor such as the maternal age, neonatal birth weight, and delivery modes were extracted from patient charts. For statistical analysis, the Χ2 test for categorical variables was used. Differences with P < 0.05 were considered significant. Table 1 shows clinical characteristics and outcomes of breastfeeding during the study period. The rates of normal, flat and inverted nipples were 83.4%, 14.5% and 2.1%, respectively. There were no significant differences in these clinical characteristics among the three groups. The incidences of inability to attach at the breast in the women with flat and inverted nipples were significantly higher than that in the women with normal nipples (P < 0.01); however, there were no significant differences in the rate of exclusive breastfeeding at 7 days or 1 month after delivery among the three groups. To date, some various therapies using instruments including rubber bands, breast shells, inverted syringes, or surgical corrections have been reported with varying success rates [1]; however, in our hospital we performed nipple exercise without any instruments. We have watch for the baby’s sucking to the mother’s nipple considering the necessity of minor modifications of the angle of the baby’s sticking. Therefore, the current results indicate the incidence nipple problems and the natural outcomes of their breastfeeding. The nipple problems may lead to the increased incidence of inability to attach at the breast; however, they may not lead to the decreased rate of exclusive

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.101
GPT teacher head0.387
Teacher spread0.286 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Clinical Gynecology and ObstetricsSame topicBreastfeeding Practices and InfluencesFrench-language works237,207