Corrigendum to "Dietary high protein-induced diarrhea and intestinal inflammation by activation of NF-κB signaling in piglets" [Animal Nutrition 7 (2021) 1070-1077].

Lanmei Yin, Jun Li, Meiwei Wang, Qiye Wang, Jianzhong Li, Nengshui Ding, Huansheng Yang, Yulong Yin

Abstract readPublished Erratum

In one paragraph

Article in Animal nutrition (Zhongguo xu mu shou yi xue hui), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

Erratum for
Dietary high protein-induced diarrhea and intestinal inflammation by activation of NF-κB signaling in piglets.2021

5 · Who and what money

Authors and funding

8 authors.

Lanmei YinHunan International Joint Laboratory of Animal Intestinal Ecology and Health, Laboratory of Animal Nutrition and Human Health, College of Life Sciences, Hunan Normal University, Changsha 410081, China.

Jun LiHunan International Joint Laboratory of Animal Intestinal Ecology and Health, Laboratory of Animal Nutrition and Human Health, College of Life Sciences, Hunan Normal University, Changsha 410081, China.

Meiwei WangHunan International Joint Laboratory of Animal Intestinal Ecology and Health, Laboratory of Animal Nutrition and Human Health, College of Life Sciences, Hunan Normal University, Changsha 410081, China.

Qiye WangHunan International Joint Laboratory of Animal Intestinal Ecology and Health, Laboratory of Animal Nutrition and Human Health, College of Life Sciences, Hunan Normal University, Changsha 410081, China.

Jianzhong LiHunan International Joint Laboratory of Animal Intestinal Ecology and Health, Laboratory of Animal Nutrition and Human Health, College of Life Sciences, Hunan Normal University, Changsha 410081, China.

Nengshui DingState Key Laboratory of Food Safety Technology for Meat Products, Yinxiang Group, Fujian Aonong Biological Science and Technology Group Co., Ltd., Key Laboratory of Swine Nutrition and Feed Science of Fujian Province, Zhangzhou 363000, China.

Huansheng YangHunan International Joint Laboratory of Animal Intestinal Ecology and Health, Laboratory of Animal Nutrition and Human Health, College of Life Sciences, Hunan Normal University, Changsha 410081, China.

Yulong YinHunan International Joint Laboratory of Animal Intestinal Ecology and Health, Laboratory of Animal Nutrition and Human Health, College of Life Sciences, Hunan Normal University, Changsha 410081, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

[This corrects the article DOI: 10.1016/j.aninu.2021.05.002.].

Identifiers

PMID41170397

DOI10.1016/j.aninu.2025.09.001

PMCPMC12570160

What OpenQuestion holds

Textmetadata

LicenceCC BY-NC-ND

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.