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PMC:7160614 / 5337-14267 JSONTXT

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LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
105 0-8 Species denotes Patients Tax:9606
120 239-247 Species denotes patients Tax:9606
121 397-400 Species denotes men Tax:9606
122 451-456 Species denotes women Tax:9606
123 505-513 Species denotes patients Tax:9606
124 616-624 Species denotes patients Tax:9606
125 773-781 Species denotes patients Tax:9606
126 812-818 Species denotes People Tax:9606
127 915-918 Species denotes men Tax:9606
128 970-975 Species denotes women Tax:9606
129 1142-1149 Species denotes patient Tax:9606
130 253-261 Disease denotes COVID-19 MESH:C000657245
131 534-554 Disease denotes SARS-CoV-2 infection MESH:C000657245
132 763-772 Disease denotes pneumonia MESH:D011014
133 790-798 Disease denotes COVID-19 MESH:C000657245
143 1410-1418 Species denotes patients Tax:9606
144 1524-1532 Species denotes patients Tax:9606
145 1555-1563 Species denotes patients Tax:9606
146 1577-1583 Species denotes People Tax:9606
147 1602-1610 Species denotes patients Tax:9606
148 1799-1807 Species denotes patients Tax:9606
149 1870-1878 Species denotes patients Tax:9606
150 1515-1523 Disease denotes COVID-19 MESH:C000657245
151 1861-1869 Disease denotes COVID-19 MESH:C000657245
153 2343-2345 Disease denotes HD MESH:D006816
157 3075-3093 Gene denotes C-reactive protein Gene:1401
158 3101-3104 Gene denotes CRP Gene:1401
159 2735-2743 Species denotes patients Tax:9606
161 4394-4399 Disease denotes fever MESH:D005334
167 3749-3757 Disease denotes COVID-19 MESH:C000657245
168 3871-3880 Disease denotes infection MESH:D007239
169 3889-3898 Disease denotes infection MESH:D007239
170 3907-3916 Disease denotes infection MESH:D007239
171 3936-3945 Disease denotes infection MESH:D007239
175 5105-5113 Disease denotes COVID-19 MESH:C000657245
176 5122-5130 Disease denotes COVID-19 MESH:C000657245
177 5304-5312 Disease denotes COVID-19 MESH:C000657245
182 7886-7894 Species denotes patients Tax:9606
183 7860-7868 Disease denotes COVID-19 MESH:C000657245
184 7877-7885 Disease denotes COVID-19 MESH:C000657245
185 8013-8021 Disease denotes COVID-19 MESH:C000657245
188 6893-6902 Disease denotes infection MESH:D007239
189 6906-6914 Disease denotes COVID-19 MESH:C000657245
191 8914-8917 Chemical denotes dca MESH:D003999

LitCovid-PD-FMA-UBERON

Id Subject Object Predicate Lexical cue fma_id
T4 2188-2193 Body_part denotes chest http://purl.org/sig/ont/fma/fma9576
T5 2812-2816 Body_part denotes body http://purl.org/sig/ont/fma/fma256135
T6 2830-2835 Body_part denotes blood http://purl.org/sig/ont/fma/fma9670
T7 2846-2851 Body_part denotes heart http://purl.org/sig/ont/fma/fma7088
T8 2944-2960 Body_part denotes white blood cell http://purl.org/sig/ont/fma/fma62852
T9 2956-2960 Body_part denotes cell http://purl.org/sig/ont/fma/fma68646
T10 2975-2985 Body_part denotes lymphocyte http://purl.org/sig/ont/fma/fma62863
T11 3003-3013 Body_part denotes lymphocyte http://purl.org/sig/ont/fma/fma62863
T12 3015-3025 Body_part denotes neutrophil http://purl.org/sig/ont/fma/fma62860
T13 3042-3052 Body_part denotes neutrophil http://purl.org/sig/ont/fma/fma62860
T14 3086-3093 Body_part denotes protein http://purl.org/sig/ont/fma/fma67257
T15 3111-3122 Body_part denotes erythrocyte http://purl.org/sig/ont/fma/fma62845
T16 3619-3623 Body_part denotes lung http://purl.org/sig/ont/fma/fma7195
T17 3695-3699 Body_part denotes lung http://purl.org/sig/ont/fma/fma7195
T18 3778-3782 Body_part denotes lung http://purl.org/sig/ont/fma/fma7195
T19 4510-4526 Body_part denotes right upper lobe http://purl.org/sig/ont/fma/fma7333
T20 4610-4626 Body_part denotes right upper lobe http://purl.org/sig/ont/fma/fma7333
T21 4662-4677 Body_part denotes lung parenchyma http://purl.org/sig/ont/fma/fma27360
T22 7671-7675 Body_part denotes lung http://purl.org/sig/ont/fma/fma7195

LitCovid-PD-UBERON

Id Subject Object Predicate Lexical cue uberon_id
T3 2188-2193 Body_part denotes chest http://purl.obolibrary.org/obo/UBERON_0001443
T4 2830-2835 Body_part denotes blood http://purl.obolibrary.org/obo/UBERON_0000178
T5 2846-2851 Body_part denotes heart http://purl.obolibrary.org/obo/UBERON_0000948
T6 2950-2955 Body_part denotes blood http://purl.obolibrary.org/obo/UBERON_0000178
T7 3619-3623 Body_part denotes lung http://purl.obolibrary.org/obo/UBERON_0002048
T8 3695-3699 Body_part denotes lung http://purl.obolibrary.org/obo/UBERON_0002048
T9 3778-3782 Body_part denotes lung http://purl.obolibrary.org/obo/UBERON_0002048
T10 3783-3787 Body_part denotes lobe http://purl.obolibrary.org/obo/UBERON_3010752
T11 3818-3822 Body_part denotes lobe http://purl.obolibrary.org/obo/UBERON_3010752
T12 4522-4526 Body_part denotes lobe http://purl.obolibrary.org/obo/UBERON_3010752
T13 4622-4626 Body_part denotes lobe http://purl.obolibrary.org/obo/UBERON_3010752
T14 4662-4677 Body_part denotes lung parenchyma http://purl.obolibrary.org/obo/UBERON_0008946
T15 4662-4666 Body_part denotes lung http://purl.obolibrary.org/obo/UBERON_0002048
T16 4667-4677 Body_part denotes parenchyma http://purl.obolibrary.org/obo/UBERON_0000353
T17 7242-7247 Body_part denotes scale http://purl.obolibrary.org/obo/UBERON_0002542
T18 7671-7675 Body_part denotes lung http://purl.obolibrary.org/obo/UBERON_0002048

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T38 253-261 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T39 534-542 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T40 545-554 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T41 763-772 Disease denotes pneumonia http://purl.obolibrary.org/obo/MONDO_0005249
T42 790-798 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T43 1515-1523 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T44 1861-1869 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T45 2343-2345 Disease denotes HD http://purl.obolibrary.org/obo/MONDO_0007739
T46 3069-3072 Disease denotes PCT http://purl.obolibrary.org/obo/MONDO_0008296|http://purl.obolibrary.org/obo/MONDO_0015104
T48 3749-3757 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T49 3871-3880 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T50 3889-3898 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T51 3907-3916 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T52 3936-3945 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T53 5105-5113 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T54 5122-5130 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T55 5304-5312 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T56 6893-6902 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T57 6906-6914 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T58 7860-7868 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T59 7877-7885 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T60 8013-8021 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T34 394-396 http://purl.obolibrary.org/obo/CLO_0053794 denotes 41
T35 1099-1101 http://purl.obolibrary.org/obo/CLO_0002857 denotes E1
T36 1395-1396 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T37 1501-1502 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T38 2188-2193 http://www.ebi.ac.uk/efo/EFO_0000965 denotes chest
T39 2537-2538 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T40 2645-2647 http://purl.obolibrary.org/obo/CLO_0002857 denotes E1
T41 2830-2835 http://purl.obolibrary.org/obo/UBERON_0000178 denotes blood
T42 2830-2835 http://www.ebi.ac.uk/efo/EFO_0000296 denotes blood
T43 2846-2851 http://purl.obolibrary.org/obo/UBERON_0000948 denotes heart
T44 2846-2851 http://purl.obolibrary.org/obo/UBERON_0007100 denotes heart
T45 2846-2851 http://purl.obolibrary.org/obo/UBERON_0015228 denotes heart
T46 2846-2851 http://www.ebi.ac.uk/efo/EFO_0000815 denotes heart
T47 2950-2955 http://www.ebi.ac.uk/efo/EFO_0000296 denotes blood
T48 2956-2960 http://purl.obolibrary.org/obo/GO_0005623 denotes cell
T49 3111-3122 http://purl.obolibrary.org/obo/CL_0000232 denotes erythrocyte
T50 3427-3428 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T51 3619-3623 http://purl.obolibrary.org/obo/UBERON_0002048 denotes lung
T52 3619-3623 http://www.ebi.ac.uk/efo/EFO_0000934 denotes lung
T53 3695-3699 http://purl.obolibrary.org/obo/UBERON_0002048 denotes lung
T54 3695-3699 http://www.ebi.ac.uk/efo/EFO_0000934 denotes lung
T55 3725-3727 http://purl.obolibrary.org/obo/CLO_0050507 denotes 22
T56 3778-3782 http://purl.obolibrary.org/obo/UBERON_0002048 denotes lung
T57 3778-3782 http://www.ebi.ac.uk/efo/EFO_0000934 denotes lung
T58 4016-4017 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T59 4052-4053 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T60 4063-4065 http://purl.obolibrary.org/obo/CLO_0053794 denotes 41
T61 4257-4259 http://purl.obolibrary.org/obo/CLO_0002860 denotes E2
T62 4326-4327 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T63 4340-4346 http://purl.obolibrary.org/obo/UBERON_0003100 denotes female
T64 4352-4353 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T65 4434-4435 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T66 4662-4666 http://purl.obolibrary.org/obo/UBERON_0002048 denotes lung
T67 4662-4666 http://www.ebi.ac.uk/efo/EFO_0000934 denotes lung
T68 4980-4984 http://purl.obolibrary.org/obo/UBERON_0000473 denotes test
T69 5007-5011 http://purl.obolibrary.org/obo/UBERON_0000473 denotes test
T70 5019-5023 http://purl.obolibrary.org/obo/UBERON_0000473 denotes test
T71 5856-5858 http://purl.obolibrary.org/obo/CLO_0002860 denotes E2
T72 6432-6433 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T73 6810-6811 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T74 6832-6833 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T75 7158-7159 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T76 7492-7494 http://purl.obolibrary.org/obo/CLO_0002861 denotes E3
T77 7671-7675 http://purl.obolibrary.org/obo/UBERON_0002048 denotes lung
T78 7671-7675 http://www.ebi.ac.uk/efo/EFO_0000934 denotes lung
T79 8407-8408 http://purl.obolibrary.org/obo/CLO_0001020 denotes a

LitCovid-PD-CHEBI

Id Subject Object Predicate Lexical cue chebi_id
T6 1186-1191 Chemical denotes group http://purl.obolibrary.org/obo/CHEBI_24433
T7 2323-2325 Chemical denotes GE http://purl.obolibrary.org/obo/CHEBI_73801
T8 2343-2345 Chemical denotes HD http://purl.obolibrary.org/obo/CHEBI_73925
T9 3086-3093 Chemical denotes protein http://purl.obolibrary.org/obo/CHEBI_36080

LitCovid-PD-HP

Id Subject Object Predicate Lexical cue hp_id
T13 763-772 Phenotype denotes pneumonia http://purl.obolibrary.org/obo/HP_0002090
T14 4394-4399 Phenotype denotes fever http://purl.obolibrary.org/obo/HP_0001945

0_colil

Id Subject Object Predicate Lexical cue
32300971-26037317-67437 5482-5484 26037317 denotes 23
32300971-30842125-67438 6629-6631 30842125 denotes 24
32300971-29948074-67436 1273-1275 29948074 denotes 19
32300971-30093881-67436 1273-1275 30093881 denotes 19
32300971-30546304-67436 1273-1275 30546304 denotes 19

TEST0

Id Subject Object Predicate Lexical cue
32300971-31-37-67436 1273-1275 ["29948074", "30093881", "30546304"] denotes 19
32300971-68-74-67437 5482-5484 ["26037317"] denotes 23
32300971-197-203-67438 6629-6631 ["30842125"] denotes 24

2_test

Id Subject Object Predicate Lexical cue
32300971-29948074-29373584 1273-1275 29948074 denotes 19
32300971-30093881-29373584 1273-1275 30093881 denotes 19
32300971-30546304-29373584 1273-1275 30546304 denotes 19
32300971-26037317-29373585 5482-5484 26037317 denotes 23
32300971-30842125-29373586 6629-6631 30842125 denotes 24

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T46 0-20 Sentence denotes Patients and methods
T47 22-30 Sentence denotes Patients
T48 31-182 Sentence denotes Ethical approvals by the institutional review boards were obtained for this retrospective analysis, and the need to obtain informed consent was waived.
T49 183-500 Sentence denotes From January 1 to February 8, 2020, seventy consecutive patients with COVID-19 admitted in 5 independent hospitals from 4 cities were enrolled in this study (mean age, 42.9 years; range, 16–69 years), including 41 men (mean age, 41.8 years; range, 16–69 years) and 29 women (mean age, 44.5 years; range, 16–66 years).
T50 501-606 Sentence denotes All patients were confirmed with SARS-CoV-2 infection by real-time RT-PCR and next-generation sequencing.
T51 607-731 Sentence denotes Of these patients, 24 were from Huizhou City, 25 from Shantou City, 15 from Yongzhou City, and the rest 6 from Meizhou City.
T52 732-1018 Sentence denotes At the same period, another 66 pneumonia patients without COVID-19 from Meizhou People’s Hospital were recruited as controls (mean age, 46.7 years; range, 0.3–93 years), including 43 men (mean age, 46.0 years; range, 0.3–93 years) and 23 women (mean age, 48.0 years; range, 1–86 years).
T53 1019-1091 Sentence denotes All the controls were confirmed with consecutive negative RT-PCR assays.
T54 1092-1241 Sentence denotes Figure E1 in the Supplementary Material shows the patient recruitment pathway for the control group, along with the inclusion and exclusion criteria.
T55 1242-1379 Sentence denotes According to previous studies [19–21], whose sample size is comparable with ours, the ratio between primary and validation cohort is 7:3.
T56 1380-1500 Sentence denotes In this study, a total of 136 patients were divided into primary (n = 98) and validation (n = 38) cohorts, close to 7:3.
T57 1501-1782 Sentence denotes A total of 19 COVID-19 patients from two hospitals (6 patients from Meizhou People’s Hospital and 13 patients from the First Affiliated Hospital of Shantou University Medical College) and 19 randomly selected controls from Meizhou City were incorporated into the validation cohort.
T58 1783-1956 Sentence denotes The rest of the patients are incorporated in the primary cohort, including 51 COVID-19 patients from Huizhou, Yongzhou, and Shantou cities and 47 controls from Meizhou City.
T59 1957-2147 Sentence denotes The primary cohort was utilized to select the most valuable features and build the predictive model, and the validation cohort was used to evaluate and validate the performance of the model.
T60 2149-2183 Sentence denotes Image and clinical data collection
T61 2184-2484 Sentence denotes The chest CT imaging data without contrast material enhancement were obtained from multiple hospitals with different CT systems, including GE CT Discovery 750 HD (General Electric Company), SCENARIA 64 CT (Hitachi Medical), Philips Ingenuity CT (PHILIPS), and Siemens SOMATOM Definition AS (Siemens).
T62 2485-2559 Sentence denotes All images were reconstructed into 1-mm slices with a slice gap of 0.8 mm.
T63 2560-2649 Sentence denotes Detailed acquisition parameters were summarized in the Supplementary Material (Table E1).
T64 2650-2744 Sentence denotes The clinical history, nursing records, and laboratory findings were reviewed for all patients.
T65 2745-2937 Sentence denotes Clinical characteristics, including demographic information, daily body temperature, blood pressure, heart rate, clinical symptoms, and history of exposure to epidemic centers, were collected.
T66 2938-3162 Sentence denotes Total white blood cell (WBC) counts, lymphocyte counts, ratio of lymphocyte, neutrophil count, ratio of neutrophil, procalcitonin (PCT), C-reactive protein level (CRP), and erythrocyte sedimentation rate (ESR) were measured.
T67 3163-3278 Sentence denotes All threshold values chosen for laboratory metrics were based on the normal ranges set by each individual hospital.
T68 3280-3294 Sentence denotes Image analysis
T69 3295-3484 Sentence denotes For extraction of radiological semantic features, two senior radiologists (D.L. and X.C., more than 15 years of experience) reached a consensus, blinded to clinical and laboratory findings.
T70 3485-3580 Sentence denotes The radiological semantic features included both qualitative and quantitative imaging features.
T71 3581-3729 Sentence denotes The lesions in the outer third of the lung were defined as peripheral, and lesions in the inner two-thirds of the lung were defined as central [22].
T72 3730-3960 Sentence denotes The progression of COVID-19 lesions within each lung lobe was evaluated by scoring each lobe from 0 to 4 [7], corresponding to normal, 1~25% infection, 26~50% infection, 51~75% infection, and more than 75% infection, respectively.
T73 3961-4051 Sentence denotes The scores were combined for all five lobes to provide a total score ranging from 0 to 20.
T74 4052-4157 Sentence denotes A total of 41 radiological features (26 quantitative and 15 qualitative) were extracted for the analysis.
T75 4158-4261 Sentence denotes The descriptions of radiological semantic features are listed in the Supplementary Material (Table E2).
T76 4262-4318 Sentence denotes Figure 1 is one example of the evaluation of CT imaging.
T77 4319-4400 Sentence denotes Fig. 1 A 23-year-old female with a travel history to Wuhan presenting with fever.
T78 4401-4527 Sentence denotes Axial noncontrast CT image shows a consolidation with ground-glass opacities in the peripheral region by the right upper lobe.
T79 4528-4563 Sentence denotes Air bronchogram is found in lesion.
T80 4564-4605 Sentence denotes The maximum diameter of lesion is 2.8 cm.
T81 4606-4691 Sentence denotes The right upper lobe score is 1 because of the involved lung parenchyma less than 1/4
T82 4693-4736 Sentence denotes Clinical and radiological feature selection
T83 4737-4939 Sentence denotes To obtain the most valuable clinical and radiological semantic features, statistical analysis, univariate analysis, and the least absolute shrinkage and selection operator (LASSO) method were performed.
T84 4940-5138 Sentence denotes In statistical analysis, the chi-square test, the Kruskal-Wallis H test, and t test were utilized to compare the radiological semantic and clinical features between COVID-19 and non-COVID-19 groups.
T85 5139-5197 Sentence denotes The features with p value smaller than 0.05 were selected.
T86 5198-5326 Sentence denotes Then, univariate analysis was performed for clinical and radiological candidate features to determine the COVID-19 risk factors.
T87 5327-5413 Sentence denotes The features with p value smaller than 0.05 in univariate analysis were also selected.
T88 5414-5637 Sentence denotes The least absolute shrinkage and selection operator (LASSO) method [23] was utilized to select the most useful features with penalty parameter tuning that was conducted by 10-fold cross-validation based on minimum criteria.
T89 5638-5741 Sentence denotes Diagnostic models were then constructed by multivariate logistic regression with the selected features.
T90 5742-5860 Sentence denotes The flowchart of the feature selection process for these models was presented in the Supplementary Material (Fig. E2).
T91 5862-5912 Sentence denotes Development and validation of the diagnostic model
T92 5913-6208 Sentence denotes To develop an optimal model, we evaluated 3 models by analyzing (i) the clinical features model (C model), (ii) radiological semantic features model (R model), and (iii) the combination of clinical and radiological semantic features model (CR model) by multivariate logistic regression analysis.
T93 6209-6338 Sentence denotes The classification performances of the models were evaluated by the area under the receiver operating characteristic (ROC) curve.
T94 6339-6431 Sentence denotes The area under the curve (AUC), accuracy, sensitivity, and specificity were also calculated.
T95 6432-6633 Sentence denotes A decision curve analysis was conducted to determine the clinical usefulness of the diagnostic model by quantifying the net benefits at different threshold probabilities in the validation dataset [24].
T96 6634-6713 Sentence denotes The development of decision curve was described in the Supplementary Materials.
T97 6714-6795 Sentence denotes Figure 2 depicts the flowchart of the proposed analysis pipeline described above.
T98 6796-7000 Sentence denotes We also built a nomogram, which was a quantitative tool to predict the individual probability of infection by COVID-19, based on the multivariate logistic analysis of the CR model with the primary cohort.
T99 7001-7157 Sentence denotes Depending on the coefficient of the predictive factors in multivariate logistic regression model, all values of each predictive factor were assigned points.
T100 7158-7237 Sentence denotes A total point was obtained by summing all the points of each predictive factor.
T101 7238-7348 Sentence denotes The scale also showed the relationship between the total point and the prediction probability in the nomogram.
T102 7349-7496 Sentence denotes The corresponding calibration curves of the CR model in the primary cohort and validation cohort are shown in the Supplementary Material (Fig. E3).
T103 7497-7556 Sentence denotes Fig. 2 Workflow of data process and analysis in this study.
T104 7557-7687 Sentence denotes Radiological semantic features, including qualitative and quantitative imaging features, are extracted from axial lung CT section.
T105 7688-7780 Sentence denotes The clinical manifestation and laboratory parameters are provided by electronic case system.
T106 7781-7895 Sentence denotes Statistical analysis is performed for comparing the different features between COVID-19 and non-COVID-19 patients.
T107 7896-8073 Sentence denotes Univariate analysis, least absolute shrinkage, and selection operator (LASSO) are further performed to determine the COVID-19 risk factors with p < 0.05 in statistical analysis.
T108 8074-8170 Sentence denotes Three models based on the selected features are established by multivariate logistic regression.
T109 8171-8313 Sentence denotes These models include radiological mode (R model), clinical model (C model), and the combination of clinical and radiological model (CR model).
T110 8314-8491 Sentence denotes The performance and clinical benefits of the prediction model are assessed by the area under a receiver operating characteristic (ROC) curve and the decision curve, respectively
T111 8493-8513 Sentence denotes Statistical analysis
T112 8514-8574 Sentence denotes Statistical analysis was conducted with R software (Version:
T113 8575-8608 Sentence denotes 3.6.4, http: www.r-project.org/).
T114 8609-8717 Sentence denotes The reported significance levels were all two-sided, and the statistical significance level was set to 0.05.
T115 8718-8803 Sentence denotes The multivariate logistic regression analysis was performed with the “stats” package.
T116 8804-8864 Sentence denotes Nomogram construction was performed using the “rms” package.
T117 8865-8918 Sentence denotes Decision curve analysis was performed using the “dca.
T118 8919-8930 Sentence denotes R” package.

MyTest

Id Subject Object Predicate Lexical cue
32300971-29948074-29373584 1273-1275 29948074 denotes 19
32300971-30093881-29373584 1273-1275 30093881 denotes 19
32300971-30546304-29373584 1273-1275 30546304 denotes 19
32300971-26037317-29373585 5482-5484 26037317 denotes 23
32300971-30842125-29373586 6629-6631 30842125 denotes 24