NATURAL HISTORY OF AUTOIMMUNE ACHLORHYDRIC ATROPHIC GASTRITIS A 1-15-year Follow-up Study

Irvine, W. J.; Cullen, D. R.; Mawhinney, Helen

doi:10.1016/s0140-6736(74)92013-3

Cited by 63 publications

(21 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…1), the question of the value of intrinsic factor antibodies as a predictor of pernicious anaemia remains open because there are early reports of the presence of type 1 intrinsic factor antibody in patients with parietal cell positive autoimmune gastritis that antedated the development of pernicious anaemia over 1-15 years of follow up. [40] Of interest, these early studies also reported individuals with type 1intrinsic factor antibodies with or without parietal cell antibodies that did not progress to pernicious anaemia. [40,41] Titres of intrinsic factor antibodies appear to be of no value in predicting the development of pernicious anaemia.…”

Section: Parietal Cell Antibodiesmentioning

confidence: 99%

Pernicious Anaemia

Toh

Alderuccio

2004

Autoimmunity

View full text Add to dashboard Cite

Section: Parietal Cell Antibodiesmentioning

confidence: 99%

Pernicious Anaemia

Toh

Alderuccio

2004

Autoimmunity

View full text Add to dashboard Cite

“…PCA and AIF may impair vitamin B12 absorption and cause pernicious anemia, which appears in later stages of autoimmune gastritis (39). Pernicious anemia affects both sexes equally (3,15,16).…”

Section: Autoimmune Gastritis Findingsmentioning

confidence: 99%

Autoimmune Gastropathy in Type 1 Diabetic Patients With Parietal Cell Antibodies

et al. 2003

View full text Add to dashboard Cite

OBJECTIVE -Approximately 15-20% of type 1 diabetic patients exhibit parietal cell antibodies (PCAs) targeting gastric H ϩ /K ϩ ATPase. We examined whether iron deficiency anemia, pernicious anemia, and autoimmune gastritis, which may predispose to gastric tumors, were more frequent in PCA ϩ than in PCA -patients. RESULTS -Autoimmune gastritis (AG) was present in 57% of PCA ϩ and 10% of PCA -cases (OR 12.5, P Ͻ 0.0001). PCA positivity (␤ ϭ 1.44; P ϭ 0.04) and hypergastrinemia (␤ ϭ 0.01; P ϭ 0.026), but not HP, age, diabetes duration, sex, and HLA-DQ type were risk factors for AG. Iron deficiency anemia (OR 3.9, P ϭ 0.015), pernicious anemia (OR ϭ 4.6, P ϭ 0.022), and hypochlorhydria (OR ϭ 20.0, P ϭ 0.0002) were more frequent in AG ϩ individuals. HP infection was present in 47 patients but did not influence corpus histology or gastrinemia. (Pre)malignant lesions were found in 26% of PCA ϩ subjects: ECL cell hyperplasia in 7 AG ϩ patients, comprising 1 with a gastric carcinoid tumor, and corpus intestinal metaplasia in 11 AG ϩ patients, including 1 with linitis plastica. RESEARCH DESIGN AND METHODS CONCLUSIONS -PCAϩ type 1 diabetic patients should be screened for autoimmune gastritis, iron deficiency, and pernicious anemia. Particularly hypergastrinemic PCA ϩ patients with autoimmune gastritis are at increased risk for (pre)malignant gastric lesions.

show abstract

“…Previous studies found an important association up to 30% between pernicious anaemia and TD on the basis of gastric and/or thyroid autoantibodies [30,31] and a more recent report assessed the coexistence of ABG and TD on more updated diagnostic criteria [27] . Undiagnosed TD may lead to complications related to subclinical hypo-or hyperthyroidism, which may be prevented by an early diagnosis of TD [13] .…”

Section: Discussionmentioning

confidence: 99%

Artificial neural networks in the recognition of the presence of thyroid disease in patients with atrophic body gastritis

Lahner¹,

Intraligi²,

Buscema³

et al. 2008

WJG

View full text Add to dashboard Cite

AIM:To investigate the role of artificial neural networks in predicting the presence of thyroid disease in atrophic body gastritis patients. METHODS:A dataset of 29 input variables of 253 atrophic body gastritis patients was applied to artificial neural networks (ANNs) using a data optimisation procedure (standard ANNs, T&T-IS protocol, TWIST protocol). The target variable was the presence of thyroid disease. RESULTS:Standard ANNs obtained a mean accuracy of 64.4% with a sensitivity of 69% and a specificity of 59.8% in recognizing atrophic body gastritis patients with thyroid disease. The optimization procedures (T&T-IS and TWIST protocol) improved the performance of the recognition task yielding a mean accuracy, sensitivity and specificity of 74.7% and 75.8%, 78.8% and 81.8%, and 70.5% and 69.9%, respectively. The increase of sensitivity of the TWIST protocol was statistically significant compared to T&T-IS. CONCLUSION:This study suggests that artificial neural networks may be taken into consideration as a potential clinical decision-support tool for identifying ABG patients at risk for harbouring an unknown thyroid disease and thus requiring diagnostic work-up of their thyroid status.

show abstract

NATURAL HISTORY OF AUTOIMMUNE ACHLORHYDRIC ATROPHIC GASTRITIS A 1-15-year Follow-up Study

Cited by 63 publications

References 17 publications

Pernicious Anaemia

Pernicious Anaemia

Autoimmune Gastropathy in Type 1 Diabetic Patients With Parietal Cell Antibodies

Artificial neural networks in the recognition of the presence of thyroid disease in patients with atrophic body gastritis

Contact Info

Product

Resources

About