ライフサイエンスコーパス: hospital record

1 essed by personal interview and/or review of hospital record.

2 mance Category 1 or 2 based on review of the hospital record.

3 charge was ascertained through review of the hospital record.

4 istory, and survival data were obtained from hospital records.

5 Additional clinical data were retrieved from hospital records.

6 illation was determined by review of ICU and hospital records.

7 were identified from death certificates and hospital records.

8 infant characteristics were abstracted from hospital records.

9 d at presentation and by physician review of hospital records.

10 a were obtained retrospectively by review of hospital records.

11 from collateral informants and by police and hospital records.

12 were obtained from a review of ambulance and hospital records.

13 means of interviews and verified with use of hospital records.

14 ital for idiopathic VTE were identified from hospital records.

15 All-cause mortality was assessed via hospital records.

16 cases were retrospectively analysed from the hospital records.

17 conducted using vital statistics records and hospital records.

18 ental disorders were ascertained from public-hospital records.

19 red with the Treatment History Interview and hospital records.

20 intellectual disability being unrecorded in hospital records.

21 orded through record linkage with electronic hospital records.

22 ns among adults has led to underreporting in hospital records.

23 mbination of self-report and linked national hospital records.

24 The data were collected from hospital records.

25 s (DWs) derived from patient experiences and hospital records.

26 stay in hospital and was identified through hospital records.

27 ions and emergency medical care use based on hospital records.

28 -linkage with national health registries and hospital records.

29 rogramme databases, laboratory datasets, and hospital records.

30 a postal calendars, telephone follow-up, and hospital records.

31 d Delta variants using PCR testing linked to hospital records.

32 F was ascertained using study visit ECGs and hospital records.

33 identified through outpatient and inpatient hospital records.

34 dity and mortality registries and electronic hospital records.

35 ases were based on physician adjudication of hospital records.

36 ing the study period were identified through hospital records.

37 nth observation period were identified using hospital records.

38 ient phone calls, general practitioners, and hospital records.

39 acted from office, emergency department, and hospital records.

40 ric, and neonatal factors were obtained from hospital records.

41 Physicians adjudicated incident VTE using hospital records.

42 York City (NYC) birth certificates linked to hospital records.

43 a patient questionnaire and primary care and hospital records.

44 urce use from their general practitioner and hospital records.

45 thropometric measurements were obtained from hospital records.

46 e not health care personnel, and we reviewed hospital records.

47 Clinical information was obtained from hospital records.

48 Clinical information was retrieved from hospital records.

49 vidual patient information was obtained from hospital records.

50 lied to data abstracted from community-based hospital records.

51 drugs, if prior to first PD diagnosis in the hospital records.

52 The incidence of stroke was ascertained from hospital records.

53 ined by the review of emergency services and hospital records.

54 Incident lung cancers were identified using hospital records.

55 included the Harborview Trauma Registry and hospital records.

56 tion housing intake rosters, 573 (5.4%) from hospital records, 749 (7.1%) from case and contact inter

57 mily history of disease agrees with combined hospital record and questionnaire GWAS and that family h

58 We find that hospital record and questionnaire GWAS largely identify

59 plementary data were gathered by a review of hospital records and a telephone interview with a family

60 der identity was determined through national hospital records and administrative records of legal cha

61 In an analysis of hospital records and adverse event reports, we found tha

62 Control Test (ACT) score were collected from hospital records and assessed at baseline and again at 2

63 retrospective chart review was conducted of hospital records and birth certificates in the largest b

64 hospitalized HF events were adjudicated from hospital records and classified as HFpEF (left ventricul

65 Date of death was derived from hospital records and confirmed using an online Social Se

66 tion and death were assessed from electronic hospital records and confirmed with county death records

67 of IHD were identified through linkage with hospital records and death certificates.

68 Measures of incident CHD were obtained from hospital records and death certificates.

69 baseline and follow-up was ascertained from hospital records and death registries, supplemented by s

70 all-cause dementia diagnosis from inpatient hospital records and death registry data.

71 Dementia diagnoses were ascertained using hospital records and death-register data.

72 uding CRC treatment strategy, retrieved from hospital records and national registries, and habitual d

73 , or suicidal behavior, were identified from hospital records and outpatient specialist care.

74 e early incidence of sinus node dysfunction, hospital records and perioperative ECGs were reviewed in

75 f these patients was determined by reviewing hospital records and querying the Social Security Death

76 Follow up data was acquired through hospital records and registries.

77 n 1 hour of symptom onset) as ascertained by hospital records and reports of next of kin.

78 We reviewed the hospital records and slides prepared from the initial op

79 n characterized by retrospective analyses of hospital records and state data banks, with few prospect

80 1, 2017, and deaths were ascertained through hospital records and telephone interview with relatives.

81 e used Medicare Provider Analysis and Review hospital records and the appropriate International Class

82 practices and outcomes were determined from hospital records and the National Death Index.

83 -term survival was determined by a review of hospital records and the social security death index.

84 Vital status was determined from hospital records and the Social Security Death Index.

85 -2008 were retrieved from nationwide Swedish hospital records and their annual work disability days f

86 ] age, 30.0 [5.4] years) had complete ED and hospital records and were included in analyses; among th

87 , written emergency medical services report, hospital record, and telephone survey.

88 of death was obtained from autopsy results, hospital records, and death certificates.

89 data were obtained from cancer registry, in-hospital records, and death registries.

90 erage of 13.7 years from death certificates, hospital records, and ECG changes at 5-yearly follow-up

91 Structured diagnostic interviews, obstetric hospital records, and magnetic resonance imaging scans o

92 e collected via medical claims, primary care/hospital records, and national registries from the Unite

93 Children were linked to birth parents, hospital records, and school data.

94 arily on information from published studies, hospital records, and surveys of women.

95 age, PW, and BW) and sex were obtained from hospital records, and the BW:PW ratio was generated.

96 uding laboratory findings were recorded from hospital records, and the periodontal inflammatory burde

97 confirmed by Q-waves on electrocardiogram or hospital records, angiographic stenosis >50%, or revascu

98 nclude oral histories, government documents, hospital records, archival and personal manuscripts, and

99 on death certificates from California, using hospital records as the gold standard, and applied the r

100 Spatial-temporal data from hospital records assessed genomically identified cluster

101 Spatial-temporal data from hospital records assessed genomically-identified cluster

102 cted by patient interview and examination of hospital records at 6 and 12 months.

103 an SNI diagnosis code in an Ontario, Canada, hospital record before 16 years of age and a first PICU-

104 es were collected using prospective, routine hospital records before and 6 months after the intervent

105 e sampling, and linked death certificate and hospital record data representing 149 million deaths, co

106 e linked data of patient-level primary care, hospital records, death certification, and virological s

107 ent coronary heart disease was obtained from hospital records/death certificates over 22 years of fol

108 ation included 343 eyes of 185 subjects with hospital record diagnoses of MFC or PIC.

109 15 429 infants aged <90 days had a hospital-recorded diagnosis of GBS, giving an average an

110 ases from heterogeneous data sources such as hospital records, digital questionnaire responses, or in

111 , compared their perinatal factors, rates of hospital-recorded disease outcomes, and all-cause infant

112 ns of the context of care; audits of patient hospital records; documentary analysis of artefacts; sem

113 e for heart failure in their primary care or hospital record during the study period.

114 isease-collected from self-reported data and hospital records, family history and various MRI metrics

115 sources including patient-reported data and hospital records for estimation of injury burden.

116 racy of clinical diagnosis of MI recorded in hospital records for patients with an adjudicated diagno

117 cord sensitivity across patients' subsequent hospital records, for each subsequent emergency admissio

118 We reviewed Magee-Womens Hospital records from 14 pregnancies in 13 women in whom

119 The authors reviewed hospital records from 1995 to 1997 for patients undergoi

120 ve qualitative study used data obtained from hospital records from 2015 to 2021.

121 Hospital records from 375 patients who underwent repair

122 tion Survey with data individually linked to hospital records from the Centers for Medicare and Medic

123 sions were obtained by linkage to electronic hospital records from the health insurance system, and t

124 s events [corrected] were determined through hospital records from the United States Renal Data Syste

125 tive surveillance systems such as electronic hospital records generate high volume case data with pre

126 , where RD was ascertained by self-report or hospital records, genetic correlations between RD and hi

127 Hospital records, health utilization surveys, verbal aut

128 Linking primary care with hospital records identified false positives and negative

129 h a diagnosis code for trisomy 13 or 18 on a hospital record in the first year of life.

130 rds data from Narayana Nethralaya ophthalmic hospital recorded in the MS-SQL database was mapped and

131 health demographic surveillance systems, or hospital records in Argentina, India, Kenya, Mozambique,

132 yses, we observed a steady increase in these hospital records in both girls and (HPV-unvaccinated) bo

133 he population-based HUNT2 Survey linked with hospital records in incident BSI.

134 east 1 year after diagnosis, identified from hospital records in Massachusetts and New York during 19

135 etween psychosocial risk factors recorded in hospital records in the 2 years before the 20th week of

136 Variables extracted from hospital records included intensive care unit admission

137 isted of isolates from four CF patients, and hospital records indicate that this cluster began with a

138 Predictors abstracted from hospital record items pertaining to the admission day, i

139 Hospital records largely validated registry entries.

140 A hospital record linkage database was used to create coho

141 Using a hospital record linkage database, hospitalization with a

142 Incident fractures were ascertained by hospital record linkage.

143 Among the 21 hospital records listing HZ as the underlying cause of d

144 ation phase of the study, among 40 available hospital records listing HZ as the underlying cause of d

145 em is fully subsidized, our exclusive use of hospital records may miss some PCOS cases managed in pri

146 Measures of incident CHD obtained from hospital records, medical history, physical examination,

147 ses of dementia were ascertained from public-hospital records, mortality records, and pharmaceutical

148 nic pain with suicide attempt (measured from hospital records; N(GWAS) = 50,264) and death by suicide

149 e 2 diabetes, use of diabetes medication, or hospital record of diabetes between 1985 and 2019.

150 In a retrospective review of hospital records of 40 human monkeypox cases from Nigeri

151 The hospital records of 94 patients who underwent 101 proced

152 Hospital records of a systematic consecutive sample of p

153 storical cohort study utilized data from the hospital records of all newborns referred to the ROP dep

154 retrospective analysis was performed of the hospital records of all patients undergoing distal pancr

155 The hospital records of all patients who were referred to Mo

156 We analyzed surveillance data and hospital records of children with severe malaria from re

157 The main outcome measures were hospital records of pain, fatigue, or circulatory sympto

158 990, and 1995, trained nurses abstracted the hospital records of patients 30 to 74 years old with a d

159 A retrospective review of hospital records of patients admitted with a CIED-relate

160 We retrospectively reviewed the hospital records of patients with gastric cancer.

161 We retrospectively analyzed data from hospital records of previously healthy children aged 3 d

162 The hospital records of recipients from cadaveric donors wit

163 Extracorporeal Life Support Organization and hospital records of the subjects were retrospectively re

164 Hospital records, office charts, and autopsy records wer

165 30 incident hip fractures were identified by hospital records or by death certificates during the fol

166 Data were collected manually from hospital records or extracted from laboratory or clinica

167 ase Outcomes Study utilized trauma registry, hospital records or operative reports, and pathologist r

168 pandemic, and easily interface with patient hospital records or telehealth services.

169 tcome, was based on follow-up FPG, review of hospital records, or self-reported physician diagnoses.

170 r 11, determined by dementia medication use, hospital records, or significant cognitive decline (>/=1

171 Hospital records, photographs, and tissue specimens of d

172 ing cases in the UK Biobank ascertained from hospital records, questionnaire responses, and family hi

173 on insurance status (N=525) were pooled from hospital records, respondents, and significant others.

174 kage to national hospital admission data and hospital record review by local microbiologists.

175 This retrospective study was based on hospital records, reviewing the records of patients who

176 d girls (cohort analyses); 11,817 girls with hospital records (SCCS analyses); and 1,465,049 girls an

177 had an elevated risk of subsequent inpatient hospital-recorded self-harm injury, as well as assault i

178 We examined general hospital record sensitivity across patients' subsequent

179 he population level, with operative logs and hospital records serving as a proxy.

180 We reviewed EMS and hospital records, state death certificates, and the nati

181 mortality registries, surveillance systems, hospital records, systematic literature reviews, and oth

182 osis surveillance system on BJ-tuberculosis, hospital records, the Danish Hospital and Civil Registra

183 d data from a statewide database that linked hospital records to births and fetal deaths occurring be

184 We used data for 8.7 million individual hospital records to calculate in-hospital sepsis-associa

185 2016 and 2024 using linked primary care and hospital records to define multimorbidity (2 + long-term

186 semiquantitative roll tip culture as well as hospital records to determine clinical correlates of inf

187 They also reviewed hospital records to determine rotavirus hospitalizations

188 We studied the children's hospital records to establish the type of injury and int

189 s conducted using radiological, surgical and hospital records to identify age at first haemorrhage an

190 can be combined with structured data such as hospital records to identify cases for GWAS in biobanks

191 We used nationwide Swedish hospital records to identify patients with urinary tract

192 mental healthcare database and used general hospital records to investigate recording of intellectua

193 Self-harm and we linked these with financial hospital records to quantify costs.

194 Data were extracted from hospital records using a structured questionnaire develo

195 F20-29) who received any F20-29 diagnosis in hospital records) was 56.4% (95% CI 55.4-57.4) for schiz

196 systematic review of death certificates and hospital records, we identified 10 broad categories of u

197 In a retrospective analysis of hospital records, we used a two-stage random sampling de

198 Prehospital and hospital records were abstracted for clinical characteri

199 ical and laboratory data from each patient's hospital records were abstracted retrospectively, includ

200 ral health was assessed at age 17; number of hospital records were derived from linked health data (H

201 Hospital records were evaluated for patient and tumor ch

202 A total of 7152 paediatric hospital records were included in the analysis (CHU-MEL

203 Hospital records were linked to study data up to 2017 an

204 Hospital records were reviewed 6 months to 5 years after

205 Hospital records were reviewed 6 months to 5 years follo

206 Hospital records were reviewed and patient follow-up dat

207 Their hospital records were reviewed for clinical presentation

208 A registry and hospital records were reviewed to identify patients trea

209 KBB, self-reported prescribed medication and hospital records were used as a proxy to identify case p

210 ed to link offspring with their parents, and hospital records were used to ascertain parental fractur

211 h a clinical diagnosis of MI recorded in the hospital records who had type 1 or type 2 MI, adjudicate

212 The main outcomes were children's hospital records with a diagnosis of anxiety or depressi

213 ed for up to 1-year postadmission by linking hospital records with death files.

214 We linked a subset of patient hospital records with patient data, including mortality

215 A sample of 409 patients with available hospital records, with a minimum of a 2-year follow-up,

216 strokes were classified by expert review of hospital records, with severity defined by the National